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, applied mathematics, or computer science Programming skills, ideally in Python, C++, or Fortran Knowledge of topics like fluid-structure interactions or monolithic/partitioned couplings or numerical methods
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recognized quality standards. You have at least 3 years of relevant professional experience. You have good knowledge of shell and scripting languages (Python, bash, etc.). Your knowledge of the Linux
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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mechanisms as well as the effectiveness and limitations of corresponding defense strategies. What you contribute Very good Python skills, which will be tested in the interview. Basic understanding of AI/ML
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) Familiar with basic terms and concepts such as: classification, hyperparameter optimization, fine-tuning, model evaluation Profound knowledge of Python is mandatory and will be tested in the interview
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-tuning, evaluation of models) Solid knowledge of Python is mandatory and will be tested in the interview Advantageous: ability to independently implement methods and procedures from scientific publications
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, or biophysical simulations. Demonstrated interest in biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong