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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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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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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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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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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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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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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