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dynamics. Geo-spatial data handling skills (GIS, scripting, working on NetCDF files etc). Use of Linux machines and compilers, basic scripting in bash and python. Pre- (e.g. mesh generation) and post
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, or equivalent practical experience, who enjoys working in an international and interactive environment. Candidates must have extensive experience with: Coding in Python / Jupyter Web development (HTML
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Fluent oral and written communication skills in English. Desired qualifications: Experience with software and/or pipeline development (using e.g. Python, C++, or similar) Experience with the use of high
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handling and vacuum systems Experience with Python programming All candidates and projects will have to undergo an evaluation versus national export, sanctions and security regulations. Candidates may be
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. Python, C++, or similar) Experience with analysis of Hi-C (or related) data Experience with the use of high-performance computing (HPC) systems Proficiency in UNIX/Linux and Bash/Shell scripting Experience
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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/or Python are required. These should be documented, for example through a GitHub profile or similar. Familiarity with numerical methods for solving Maxwell’s equations, particularly in the context
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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biology, molecular biology including mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required