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with other team members Implement AI-based microscopy image analysis software as python packages Develop algorithms to integrate topology constraints in AI models Report findings and methods in conference and
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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Familiar with R, Python or other coding languages Experience with HPC clusters and Job Schedulers (e.g. SLURM) Interdisciplinary communication skills and intercultural competence Knowledge and experience in
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or a related field (M.Sc. degree or equivalent) Experience conducting observational or experimental studies with animals Quantitative skills in R or Python Excellent communication and teamwork skills
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline Sound programming knowledge in Python and TypeScript/JavaScript
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science
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/programming skills (Julia/Python/C++) is highly desirable: Quantum transport theories, Nonequilibrium quantum dynamics, Spintronics /quantum phononics/photonics. Our offer: Employment in accordance with
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neuroimaging would be beneficial Familiarity with statistical methods and programming experience in Python are advantageous Strong intention to be a team member in a diverse research team with interdisciplinary