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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 7 days ago
Ability to work independently Strong problem-solving skills, including openness to learning new tools, software, and methods Excellent verbal and written communication skills in English; proficiency in
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transmission electron microscopy (TEM/STEM) and/or advanced image-processing techniques; proficiency in programming and in the application and development of software and computational tools for scientific data
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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sediment observations from existing datasets; evaluating impacts of expanded datasets on watershed-scale assessments; developing and maintaining open-source software tools and R packages; disseminating
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-performance computing (HPC) systems with dedicated research software engineers and access to NVIDIA systems engineers) that can be leveraged depending on their role. Postdoctoral Fellows will become key
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/Qualifications - PhD in Psychology, Cognitive Science, or Neuroscience. - Proven skills in qualitative and narrative analysis (interviews, thematic coding, text analysis software). - Experience in
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, social scientists, statisticians and software engineers to develop and apply flexible, modular, multi-sector, cross-scale human-climate-impacts modeling framework to advance understanding of multi-sector
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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. • Develop embedded control systems and software for robotic devices and supporting hardware. • Coordinate research objectives and technical requirements with clinicians, engineers, and multidisciplinary
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools