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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
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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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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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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
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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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
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, particularly Python Computer vision, artificial intelligence, and machine learning Industrial cyber security Proficiency in Swedish, both spoken and written More about requirements and the recruitment process in
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, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Excellent programming skills (Python/R) and a solid training in AI or machine learning are highly preferred. A strong
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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networks. Of second highest importance are: Documented programming proficiency in Python and R for advanced analysis and integration of large-scale biological and medical data. Knowledge of network and multi