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processing and analysis (e.g. using tools such as Matlab, Python and Labview). 4. Excellent communication skills in English (oral and written) and excellent presentation skills. 5. High
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, and spatial proteomics methods Strong programming and data analysis skills (Python, R, Bash) as well as experience using Git, Docker, and PyTorch; proficiency in using Linux Practical experience with
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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Machine Learning & AI Spring semester: (beginning of January through mid-May) Python Programming for Data Science General Linear Models Deep Learning & AI The Tutor role will include the following
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Demonstrated experience in performing novel and cutting-edge experiments, with soft x-ray microscopy for magnetic materials and/or coherent techniques using X-rays Good Python programming skills, a working
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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engineering, including performance and conceptual design Experience in energy systems modelling and mathematical optimization Programming skills in, for example, Matlab, Python, C++, Fortran, or equivalent
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of classical programming languages and no-code environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience
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and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run
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description EuroCC3 is the follow-up project of the EuroCC (European Competence Centre) and EuroCC2 on High-Performance Computing ( https://www.deic.dk/da/eurocc-denmark ). The national competence centres (NCCs