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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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Linux environments A genuine interest in neurodegeneration, gene regulation, and single-cell genomics Specific Requirements MSc degree in Biomedicine, Bioinformatics, Molecular Biology, Neuroscience, or a
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at the Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France (https://lbbe.univ-lyon1.fr/en ). The LBBE comprises approximately 200 people; the research conducted there is based on three pillars: (i
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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and/or Python; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing, analysis and interpretation of omics data and a strong interest in
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python, MATLAB) and the use of Linux/HPC systems
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, MATLAB) and the use of Linux/HPC systems are considered merits. Consideration will also be given to collaborative skills, drive and independence, and how the applicant, through experience and skills, is