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772 Treffer für Science Engineering Jobs in Südbayern im Umkreis von 30 km
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Bachelors of Science, Bachelors of Engineering oder Diplom-Ingenieure (m/w/d) (FH) für das Gewerbeaufsichtsamt
Bachelors of Science, Bachelors of Engineering oder Diplom-Ingenieure (m/w/d) (FH) für das Gewerbeaufsichtsamt
Regierung von Oberbayern
München
Bachelors of Science, Bachelors of Engineering oder Diplom-Ingenieure (m/w/d) (FH)
Bachelors of Science, Bachelors of Engineering oder Diplom-Ingenieure (m/w/d) (FH)
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Educational Background: A university degree in natural sciences, engineering, or business administration is essential; an MBA is advantageous. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Educational Background: A university degree in natural sciences, engineering, or business administration is essential; an MBA is advantageous. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
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Successfully completed university degree (Bachelor or Master) in Information Security, Computer Science, Engineering, or a related field, or equivalent professional experience in security operations
Successfully completed university degree (Bachelor or Master) in Information Security, Computer Science, Engineering, or a related field, or equivalent professional experience in security operations
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University degree in Computer Science, Engineering, or a related field.
University degree in Computer Science, Engineering, or a related field.
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Currently pursuing a degree in Computer Science, Software Engineering, Physics, Mathematics or related field
Currently pursuing a degree in Computer Science, Software Engineering, Physics, Mathematics or related field
University degree in Computer Science, Engineering, or a related field. * 3-5 years of experience in big data or data engineering with a focus on analytics and search over very large datasets.
University degree in Computer Science, Engineering, or a related field. * 3-5 years of experience in big data or data engineering with a focus on analytics and search over very large datasets.
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Advanced Sales Engineer – HPC and Quantum Technologies (f/m/d)
Advanced Sales Engineer – HPC and Quantum Technologies (f/m/d)
Fsas Technologies GmbH
München, Berlin, Düsseldorf, Frankfurt, Stuttgart
Teilweise Home-Office
Education: Degree in Computer Science, Engineering, or related field..
Education: Degree in Computer Science, Engineering, or related field..
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Senior Celonis Consultant (all genders)
Senior Celonis Consultant (all genders)
Lufthansa Industry Solutions AS GmbH
Köln, München, Raunheim, Norderstedt
Mindestens zwei Jahre einschlägige Berufserfahrung im Data Science/Data Engineering-Umfeld mit sehr gutem Verständnis von SQL/PQL und Python, optional von weiterführenden Konzepten wie Machine Learning
Mindestens zwei Jahre einschlägige Berufserfahrung im Data Science/Data Engineering-Umfeld mit sehr gutem Verständnis von SQL/PQL und Python, optional von weiterführenden Konzepten wie Machine Learning
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Schnelle Bewerbung
Currently, we are searching for a candidate with a general background in robotics, mechanical engineering, electrical engineering, or computer science to become part of our team. * Master's (or comparable practical experience) in robotics, computer science, mechanical engineering, electrical engineering, or related fields
Currently, we are searching for a candidate with a general background in robotics, mechanical engineering, electrical engineering, or computer science to become part of our team. * Master's (or comparable practical experience) in robotics, computer science, mechanical engineering, electrical engineering, or related fields
Enterprise Solution Architect (all genders) – Process Intelligence in Aviation
Enterprise Solution Architect (all genders) – Process Intelligence in Aviation
Lufthansa Industry Solutions AS GmbH
Köln, München, Raunheim, Norderstedt
Mindestens fünf Jahre einschlägige Berufserfahrung im Data Science/Data Engineering-Umfeld mit sehr gutem Verständnis von SQL/PQL, optional von weiterführenden Konzepten wie Python und Machine Learning - In dieser Rolle gestaltest du End-to-End-Prozessarchitekturen, setzt innovative Intelligence-Mining-Lösungen mit Celonis um und übersetzt Daten in echten Business Impact – von Airline Operations über Maintenance & Engineering bis zu Airport-Services und Ground Handling.
Mindestens fünf Jahre einschlägige Berufserfahrung im Data Science/Data Engineering-Umfeld mit sehr gutem Verständnis von SQL/PQL, optional von weiterführenden Konzepten wie Python und Machine Learning - In dieser Rolle gestaltest du End-to-End-Prozessarchitekturen, setzt innovative Intelligence-Mining-Lösungen mit Celonis um und übersetzt Daten in echten Business Impact – von Airline Operations über Maintenance & Engineering bis zu Airport-Services und Ground Handling.
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This role sits at the intersection of pathology, data science, and AI engineering, and collaborates closely with internal teams and external to manage complex datasets and maintain high standards of data quality, compliance, and workflow execution. * Bachelor's or Master's degree in data science, bioinformatics, biomedical informatics, biomedical engineering, or a related field. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. * Experience in data management within healthcare, diagnostics, or life sciences is highly desirable. * Fluency with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and their application in life sciences data management.
This role sits at the intersection of pathology, data science, and AI engineering, and collaborates closely with internal teams and external to manage complex datasets and maintain high standards of data quality, compliance, and workflow execution. * Bachelor's or Master's degree in data science, bioinformatics, biomedical informatics, biomedical engineering, or a related field. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. * Experience in data management within healthcare, diagnostics, or life sciences is highly desirable. * Fluency with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and their application in life sciences data management.
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Healthcare / Life Sciences * Construction / Engineering
Healthcare / Life Sciences * Construction / Engineering
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Background in informatics, science, technology, or engineering Relevant experience in the role of Requirements Engineer within a software-related domain or as a software engineer with expertise in requirements engineering
Background in informatics, science, technology, or engineering Relevant experience in the role of Requirements Engineer within a software-related domain or as a software engineer with expertise in requirements engineering
University degree in Computer Science, Computer/Electrical Engineering or related subjects. * 5-8+ years in ML platform or infrastructure engineering, with at least two years in a tech lead or architect role.
University degree in Computer Science, Computer/Electrical Engineering or related subjects. * 5-8+ years in ML platform or infrastructure engineering, with at least two years in a tech lead or architect role.
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Werkstudent (m/w/d) – Künstliche Intelligenz & Agentenbasierte Systeme
Werkstudent (m/w/d) – Künstliche Intelligenz & Agentenbasierte Systeme
ASMPT GmbH & Co. KG
München
Teilweise Home-Office
Eingeschriebener Student in beispielsweise Informatik, Wirtschaftsinformatik, Data Science, AI, Engineering oder vergleichbar
Eingeschriebener Student in beispielsweise Informatik, Wirtschaftsinformatik, Data Science, AI, Engineering oder vergleichbar
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Teamlead Data Science / KI (all genders)
Teamlead Data Science / KI (all genders)
scieneers GmbH
Köln, Hamburg, Berlin, München, Karlsruhe
Teilweise Home-Office
Ein tiefes technisches Verständnis von Data Science, Data Engineering und KI bildet dabei das Fundament, mit dem Du das Vertrauen von Kunden und Mitarbeitenden gewinnst. Unser Projekt-Portfolio reicht von Datawarehouse und BI-Systemen über skalierbare Datenplattformen und Data Science Anwendungen bis zu kompletten Datenprodukten und Künstlicher Intelligenz. Zur Verstärkung unseres Führungsteams an einem unserer Standorte deiner Wahl (Karlsruhe, Köln, Hamburg, Berlin, München) suchen wir Dich als Teamlead Data Science / KI (all genders).
Ein tiefes technisches Verständnis von Data Science, Data Engineering und KI bildet dabei das Fundament, mit dem Du das Vertrauen von Kunden und Mitarbeitenden gewinnst. Unser Projekt-Portfolio reicht von Datawarehouse und BI-Systemen über skalierbare Datenplattformen und Data Science Anwendungen bis zu kompletten Datenprodukten und Künstlicher Intelligenz. Zur Verstärkung unseres Führungsteams an einem unserer Standorte deiner Wahl (Karlsruhe, Köln, Hamburg, Berlin, München) suchen wir Dich als Teamlead Data Science / KI (all genders).
This role sits at the intersection of pathology, data science, and AI engineering, and collaborates closely with internal teams and external to manage complex datasets and maintain high standards of data quality, compliance, and workflow execution. * Bachelor's or Master's degree in data science, bioinformatics, biomedical informatics, biomedical engineering, or a related field. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. * Experience in data management within healthcare, diagnostics, or life sciences is highly desirable. * Fluency with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and their application in life sciences data management.
This role sits at the intersection of pathology, data science, and AI engineering, and collaborates closely with internal teams and external to manage complex datasets and maintain high standards of data quality, compliance, and workflow execution. * Bachelor's or Master's degree in data science, bioinformatics, biomedical informatics, biomedical engineering, or a related field. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. * Experience in data management within healthcare, diagnostics, or life sciences is highly desirable. * Fluency with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and their application in life sciences data management.
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Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field), with the ability to evaluate and guide both research and engineering decisions - We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. * Establish strong engineering and scientific standards: reproducible experimentation, code quality, testing, review culture, MLOps discipline, and documentation - This is a leadership role for someone who can combine strong scientific/engineering judgement with pragmatic delivery, and who enjoys building and scaling high-performing teams. This is a leadership role for someone who can combine strong scientific and engineering judgment with pragmatic delivery, and who enjoys building and scaling high-performing teams—from our current group of ~20 people, with ...
Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field), with the ability to evaluate and guide both research and engineering decisions - We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. * Establish strong engineering and scientific standards: reproducible experimentation, code quality, testing, review culture, MLOps discipline, and documentation - This is a leadership role for someone who can combine strong scientific/engineering judgement with pragmatic delivery, and who enjoys building and scaling high-performing teams. This is a leadership role for someone who can combine strong scientific and engineering judgment with pragmatic delivery, and who enjoys building and scaling high-performing teams—from our current group of ~20 people, with ...
NEU
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Collaborating closely with our science and engineering teams, you will play a pivotal role in project meetings and lead supplier selection and order-to-pay activities. With the aim of solving one of the biggest problems of humanity, we are developing a completely new type of fusion energy technology that dramatically increases the probability of fusion and builds on recent advances in laser and nanoscience. * University degree in business administration, industrial engineering, or comparable studies
Collaborating closely with our science and engineering teams, you will play a pivotal role in project meetings and lead supplier selection and order-to-pay activities. With the aim of solving one of the biggest problems of humanity, we are developing a completely new type of fusion energy technology that dramatically increases the probability of fusion and builds on recent advances in laser and nanoscience. * University degree in business administration, industrial engineering, or comparable studies
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Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. * Requires 10+ years of experience in software engineering or technical consulting. * Strong engineering skills, architecture patterns knowledge, and toolchain understanding. * 10+ years in software engineering, platform delivery, or technical consulting roles.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. * Requires 10+ years of experience in software engineering or technical consulting. * Strong engineering skills, architecture patterns knowledge, and toolchain understanding. * 10+ years in software engineering, platform delivery, or technical consulting roles.
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Schnelle Bewerbung
Ausbildung & Erfahrung: Erfolgreich abgeschlossenes Studium/Ausbildung im Bereich (Wirtschafts-)Informatik, Data Science, Business Engineering oder eine vergleichbare Qualifikation mit tiefem technischem Verständnis.
Ausbildung & Erfahrung: Erfolgreich abgeschlossenes Studium/Ausbildung im Bereich (Wirtschafts-)Informatik, Data Science, Business Engineering oder eine vergleichbare Qualifikation mit tiefem technischem Verständnis.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. The Solution Strategist for Engineering Excellence in Europe is responsible for the commercial success, strategic positioning, and market adoption of Thoughtworks' Engineering Excellence offering across the region. This offering helps clients modernize their software engineering organizations using a holistic, AI-first approach-combining platform engineering, developer experience, software intelligence, organizational transformation, and global delivery strategies. * You will drive the European pipeline generation and TCV growth for Engineering Excellence. * Lead or support strategic engineering transformation pursuits. * Guide account planning to increase Engineering Excellence adoption in key clients. * Shape AI-first solutions in platform engineering, developer experience, software ...
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. The Solution Strategist for Engineering Excellence in Europe is responsible for the commercial success, strategic positioning, and market adoption of Thoughtworks' Engineering Excellence offering across the region. This offering helps clients modernize their software engineering organizations using a holistic, AI-first approach-combining platform engineering, developer experience, software intelligence, organizational transformation, and global delivery strategies. * You will drive the European pipeline generation and TCV growth for Engineering Excellence. * Lead or support strategic engineering transformation pursuits. * Guide account planning to increase Engineering Excellence adoption in key clients. * Shape AI-first solutions in platform engineering, developer experience, software ...
NEU
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Working Student Full-Stack Development (Angular/Java) (m/f/d)
Working Student Full-Stack Development (Angular/Java) (m/f/d)
OKAPI:Orbits GmbH
Munich
Teilweise Home-Office
Schnelle Bewerbung
Ongoing studies in computer science, software engineering or a related field
Ongoing studies in computer science, software engineering or a related field
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Schnelle Bewerbung
Bachelor's degree in Computer Science, Computer Engineering, or a related field. * Enforce clean, secure, and scalable data engineering best practices. * 7+ years of professional experience in Data Engineering or a closely related backend/data-focused role.
Bachelor's degree in Computer Science, Computer Engineering, or a related field. * Enforce clean, secure, and scalable data engineering best practices. * 7+ years of professional experience in Data Engineering or a closely related backend/data-focused role.
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Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. * You will show a deep understanding of who and how to engage the 's product and engineering organizations with at least 8 years related experience. * Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. * You will show a deep understanding of who and how to engage the 's product and engineering organizations with at least 8 years related experience. * Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.