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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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, Engineering Physics, Electrical Engineering, Mathematics or another relevant field, or equivalent documented experience. Strong programming skills in Python together with solid knowledge of Linux and modern
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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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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
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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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the capabilities of today's state-of-the-art methods to extracting a richer set of material characteristics from piled materials. The position is associated with the Robot Navigation and Perception Lab (https
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facilities. Minimum 5 years data analysis experience with Matlab and/or Python. Knowledge of non-linear optics, THz generation, THz characterization and laser beam diagnostics. Experience with laser timing
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of information that they can deal with at each iteration, and consider the humans’ reactions during the interaction. See: https://www.umu.se/en/research/groups/xai--explainable-ai/ The research will be performed