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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may
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ability to comfortable processing these data using tools like Seurat, Scanpy, or QuPath. Proficiency in Python or R, coupled with familiarity with machinelearning frameworks (e.g., scikit‑learn, PyTorch
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good understanding of all the main steps in crystallography-based structure solution is important Good programming knowledge, particularly in Python and/or C/C++ Ability to cooperate and work in a team
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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like Python or C/C++ Familiarity with networking and security protocols is a plus You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education
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structure solution is important Good programming knowledge, particularly in Python and/or C/C++ Ability to cooperate and work in a team, but also the ability to work independently Good communication skills
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measurements in animals and programming with Python/Matlab is a meritorious achievement. Documented experience with calcium imaging and/or optogenetics, as well as behavioral measurements is particularly
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publication record Ability to develop systems using programming languages like Python or C/C++ Familiarity with networking and security protocols is a plus You are expected to be somewhat accustomed to teaching