Strong applied statistics, including methods for longitudinal/ repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Ability to independently learn new quantitative methods. * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets.
Strong applied statistics, including methods for longitudinal/ repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Ability to independently learn new quantitative methods. * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets.
Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Ability to independently learn new quantitative methods. * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets.
Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Ability to independently learn new quantitative methods. * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets.
CAAN's current scientific priorities include: (1) tracking autonomic trajectories from age 20–60 and identifying their causes and consequences, including a first-of-its-kind longitudinal study with CSF biomarker collection and longitudinal LC imaging; (2) randomized clinical trials of breathing-based interventions (e.g., slow breathing, 4-7-8 breathing) to test causal roles of autonomic activity on emotion, brain, and cognition; (3) advancing brainstem imaging methods; and (4) understanding brain mechanisms of emotion–cognition interactions in aging. * Strong programming skills in Python and/or MATLAB, including experience with sleep-and EEG-relevant toolboxes (e.g., MNE-Python, YASA, EEGLAB, FieldTrip, or comparable). * Experience with quantitative EEG analysis (e.g., spectral methods, event detection for spindles and slow oscillations).
CAAN's current scientific priorities include: (1) tracking autonomic trajectories from age 20–60 and identifying their causes and consequences, including a first-of-its-kind longitudinal study with CSF biomarker collection and longitudinal LC imaging; (2) randomized clinical trials of breathing-based interventions (e.g., slow breathing, 4-7-8 breathing) to test causal roles of autonomic activity on emotion, brain, and cognition; (3) advancing brainstem imaging methods; and (4) understanding brain mechanisms of emotion–cognition interactions in aging. * Strong programming skills in Python and/or MATLAB, including experience with sleep-and EEG-relevant toolboxes (e.g., MNE-Python, YASA, EEGLAB, FieldTrip, or comparable). * Experience with quantitative EEG analysis (e.g., spectral methods, event detection for spindles and slow oscillations).
CAAN's current scientific priorities include: (1) tracking autonomic trajectories from age 20–60 and identifying their causes and consequences, including a first-of-its-kind longitudinal study with CSF biomarker collection and longitudinal LC imaging; (2) randomized clinical trials of breathing-based interventions (e.g., slow breathing, 4-7-8 breathing) to test causal roles of autonomic activity on emotion, brain, and cognition; (3) advancing brainstem imaging methods; and (4) understanding brain mechanisms of emotion–cognition interactions in aging. * Strong programming skills in Python and/or MATLAB, including experience with sleep-and EEG-relevant toolboxes (e.g., MNE-Python, YASA, EEGLAB, FieldTrip, or comparable). * Experience with quantitative EEG analysis (e.g., spectral methods, event detection for spindles and slow oscillations).
CAAN's current scientific priorities include: (1) tracking autonomic trajectories from age 20–60 and identifying their causes and consequences, including a first-of-its-kind longitudinal study with CSF biomarker collection and longitudinal LC imaging; (2) randomized clinical trials of breathing-based interventions (e.g., slow breathing, 4-7-8 breathing) to test causal roles of autonomic activity on emotion, brain, and cognition; (3) advancing brainstem imaging methods; and (4) understanding brain mechanisms of emotion–cognition interactions in aging. * Strong programming skills in Python and/or MATLAB, including experience with sleep-and EEG-relevant toolboxes (e.g., MNE-Python, YASA, EEGLAB, FieldTrip, or comparable). * Experience with quantitative EEG analysis (e.g., spectral methods, event detection for spindles and slow oscillations).
Support survey programming and fieldwork management across ad-hoc and tracking studies * Solid statistical and methodological grounding: a strong foundation in statistics, quantitative research methods and mathematical reasoning. * Do you find genuine joy in analysing data and uncovering the story within it, and do you have a solid grounding in quantitative research methods to back that up? The methods we use, including choice-based conjoint analysis, advanced segmentation and large-scale trackers, are technically demanding and highly custom, and our clients trust us with their most important and complex research challenges.
Support survey programming and fieldwork management across ad-hoc and tracking studies * Solid statistical and methodological grounding: a strong foundation in statistics, quantitative research methods and mathematical reasoning. * Do you find genuine joy in analysing data and uncovering the story within it, and do you have a solid grounding in quantitative research methods to back that up? The methods we use, including choice-based conjoint analysis, advanced segmentation and large-scale trackers, are technically demanding and highly custom, and our clients trust us with their most important and complex research challenges.
We combine deep expertise in protein science with modern AI-driven methods to design and optimize next-generation protein therapeutics. * Apply AI-driven protein engineering methods to support protein design projects * Apply physics-based modelling approaches (Rosetta/PyRosetta) together with cutting-edge generative AI methods, protein language models (PLMs), and structure prediction technologies to drive protein design, optimization and engineering efforts * Strong Python programming and scripting skills, including development of analysis workflows and computational pipelines * Curiosity about advances in generative AI, with the ability to rapidly learn and apply new methods to protein engineering projects in a fast-paced research environment
We combine deep expertise in protein science with modern AI-driven methods to design and optimize next-generation protein therapeutics. * Apply AI-driven protein engineering methods to support protein design projects * Apply physics-based modelling approaches (Rosetta/PyRosetta) together with cutting-edge generative AI methods, protein language models (PLMs), and structure prediction technologies to drive protein design, optimization and engineering efforts * Strong Python programming and scripting skills, including development of analysis workflows and computational pipelines * Curiosity about advances in generative AI, with the ability to rapidly learn and apply new methods to protein engineering projects in a fast-paced research environment
ProBioGen AG * Berlin * Feste Anstellung * Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - Wer wir sind - ProBioGen ist ein international agierendes Biotechnologieunternehmen mit Sitz in Berlin-Weißensee und spezialisiert auf die Entwicklung und Herstellung biopharmazeutischer Wirkstoffe und Impfstoffe. 300 Mitarbeitende tragen mit ihrer kreativen und sorgfältigen Arbeit täglich dazu bei, neue Therapien voranzubringen und Innovationen weltweit zu etablieren. Mit unserer Forschung unterstützen wir die Entwicklung wirksamer und sicherer Medikamente – etwa zur Behandlung von Krebs und anderen schweren Erkrankungen. Als Partner im Berlin Center for Gene and Cell Therapies (BC GCT) gestalten wir zudem aktiv die Zukunft von Gen- und Zelltherapien und den Ausbau modernster GMP-Produktionskapazitäten in Berlin.
ProBioGen AG * Berlin * Feste Anstellung * Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - Wer wir sind - ProBioGen ist ein international agierendes Biotechnologieunternehmen mit Sitz in Berlin-Weißensee und spezialisiert auf die Entwicklung und Herstellung biopharmazeutischer Wirkstoffe und Impfstoffe. 300 Mitarbeitende tragen mit ihrer kreativen und sorgfältigen Arbeit täglich dazu bei, neue Therapien voranzubringen und Innovationen weltweit zu etablieren. Mit unserer Forschung unterstützen wir die Entwicklung wirksamer und sicherer Medikamente – etwa zur Behandlung von Krebs und anderen schweren Erkrankungen. Als Partner im Berlin Center for Gene and Cell Therapies (BC GCT) gestalten wir zudem aktiv die Zukunft von Gen- und Zelltherapien und den Ausbau modernster GMP-Produktionskapazitäten in Berlin.
Stuttgart, München, Hamburg, Berlin, Frankfurt am Main
Integrate modern methods and technologies such as automation, prefabrication, modularization, AI and digital twin to enhance efficiency and scalability
Integrate modern methods and technologies such as automation, prefabrication, modularization, AI and digital twin to enhance efficiency and scalability
Mentoring und Unterstützung der Weiterentwicklung der Teammitglieder durch Pair Programming, Workshops, technische Schulungen und regelmäßiges, konstruktives Feedback
Mentoring und Unterstützung der Weiterentwicklung der Teammitglieder durch Pair Programming, Workshops, technische Schulungen und regelmäßiges, konstruktives Feedback
Einen sicheren Umgang mit MS Project und den gängigen MS-Office-Anwendungen sowie fundierte Kenntnisse der Netzplantechnik und der Critical Path Method.
Einen sicheren Umgang mit MS Project und den gängigen MS-Office-Anwendungen sowie fundierte Kenntnisse der Netzplantechnik und der Critical Path Method.
Key responsibilities include designing neuroimaging studies of motor skill learning, overviewing empirical studies, conducting behavioral and neuroimaging analyses using advanced statistical methods, writing and revising manuscripts, and presenting findings at international conferences. * Familiarity with one or more of the following neuroimaging methods and modalities: functional connectivity, representational similarity analysis, decoding techniques; structural connectivity, magnetic resonance spectroscopy; quantitative MRI
Key responsibilities include designing neuroimaging studies of motor skill learning, overviewing empirical studies, conducting behavioral and neuroimaging analyses using advanced statistical methods, writing and revising manuscripts, and presenting findings at international conferences. * Familiarity with one or more of the following neuroimaging methods and modalities: functional connectivity, representational similarity analysis, decoding techniques; structural connectivity, magnetic resonance spectroscopy; quantitative MRI
Experience and Know-How: Multiple years of relevant professional experience; very good knowledge in sensor, micromechanics and semiconductor technology required; knowledge of relevant analytical methods beneficial; excellent understanding of physical principles and interrelationships; ability to guide a team in technical matters
Experience and Know-How: Multiple years of relevant professional experience; very good knowledge in sensor, micromechanics and semiconductor technology required; knowledge of relevant analytical methods beneficial; excellent understanding of physical principles and interrelationships; ability to guide a team in technical matters
Programming Mastery: Strong experience developing in Go or Python, with a solid understanding of concurrent programming, APIs, and distributed systems design
Programming Mastery: Strong experience developing in Go or Python, with a solid understanding of concurrent programming, APIs, and distributed systems design