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programming languages (e.g. Python and Fortran). Extensive knowledge of galaxy formation and galaxy formation. Selection criteria The selection of eligible applicants will be made taking into account the
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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of cladding hoop stress and assessment of PCI-failure risk, • implementing, testing and documenting computational tools, for example in Python, and contributing to reproducible computational workflows
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environment. Particularly meritorious are experience with GPS or other mobility data, PPGIS, wearable data, environmental exposure modelling, longitudinal or repeated-measures data, and programming in R, Python
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eligible. Good knowledge of Python programming. Preferred qualifications Good collaborative abilities Independence in work Good social and communication skills Awareness of diversity and equal opportunity
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collaborate across disciplines. Basic programming or data-analysis skills (Python/R) are meriting but not required. After the qualification requirements, great emphasis will be placed on personal skills. Target
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bioinformatics, Computational Biology, or related fields is required. Proficiency in Bash, R, and/or Python is essential for data analysis and multiomics integration, and bioinformatics tasks. Ability to work
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systems; Programming in Python, MATLAB, or similar. Excellent written and oral communication skills in English are required. Assessment criteria Particular emphasis will be placed on knowledge and
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with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
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the three years immediately before the application deadline of 15 October 2026 (Marie Sklodowska-Curie mobility rule). Merits are: experience from protein production and purification, and/or Python code