Nachweisbare Kenntnisse in Daten- und KI-Technologien (z. B. generative KI, Deep Learning, Neuronale Netzwerke, Ontologien und Wissensgraphen, Information Retrieval, Natural Language Processing)
Nachweisbare Kenntnisse in Daten- und KI-Technologien (z. B. generative KI, Deep Learning, Neuronale Netzwerke, Ontologien und Wissensgraphen, Information Retrieval, Natural Language Processing)
Nachweisbare Kenntnisse in den letzten fünf Jahren in den Bereichen Datenmanagement, Datenstandards, Information Retrieval oder Natural Language Processing (NLP)
Nachweisbare Kenntnisse in den letzten fünf Jahren in den Bereichen Datenmanagement, Datenstandards, Information Retrieval oder Natural Language Processing (NLP)
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.
Partner closely with the Chief Commercial Officer and senior leadership, providing financial guidance on commercial strategy, pricing, profitability and new business models
Partner closely with the Chief Commercial Officer and senior leadership, providing financial guidance on commercial strategy, pricing, profitability and new business models
■ Flexible working hours and locations: workation, mobile working, part-time models, sabbaticals, etc. ■ Your further development by plan: topic-specific induction, targeted career development based on career models, programs and your own academy
■ Flexible working hours and locations: workation, mobile working, part-time models, sabbaticals, etc. ■ Your further development by plan: topic-specific induction, targeted career development based on career models, programs and your own academy
oLarge LanguageModels and APIs - Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. The selected candidate will employ, adapt and assess methods from the literature in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects, integrate the developed methods into the Senckenberg infrastructure and make developed methods usable for end users. oCurrent technologies, languages and frameworks for the development and deployment of ML methods (e.g., Linux, Bash, Python, Numpy, Pandas, Pytorch, Gradio, HTML, CSS, Javascript)
oLarge LanguageModels and APIs - Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. The selected candidate will employ, adapt and assess methods from the literature in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects, integrate the developed methods into the Senckenberg infrastructure and make developed methods usable for end users. oCurrent technologies, languages and frameworks for the development and deployment of ML methods (e.g., Linux, Bash, Python, Numpy, Pandas, Pytorch, Gradio, HTML, CSS, Javascript)
•Experience with:Current methods, tools, languages and frameworks in computer vision and deep learning (e.g., Linux, Bash, Python, Pytorch, Gradio, Numpy, Pandas, Huggingface, Ollama) -LLMs and foundation models in general - Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. The selected candidate will research novel methods in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects in order to advance collection-based research. •Establishment of own projects, research questions and approaches for image and data analysis of collection data with focus on broadly applicable methods able to deal with little available data (e.g., zero-shot, few-shot or weakly supervised approaches and foundation models) •German language skills
•Experience with:Current methods, tools, languages and frameworks in computer vision and deep learning (e.g., Linux, Bash, Python, Pytorch, Gradio, Numpy, Pandas, Huggingface, Ollama) -LLMs and foundation models in general - Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. The selected candidate will research novel methods in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects in order to advance collection-based research. •Establishment of own projects, research questions and approaches for image and data analysis of collection data with focus on broadly applicable methods able to deal with little available data (e.g., zero-shot, few-shot or weakly supervised approaches and foundation models) •German language skills