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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Biological Physics The AICell Lab (https
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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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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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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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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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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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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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whole-genome duplication across diverse plant systems (see https://www.yantlab.net/ ). The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations
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them, and interpreted the output. You are comfortable on the Linux command line, on HPC clusters, and with scripting (Python or equivalent). You have the independence, and the stubbornness, to pursue a