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experience is considered a merit. An additional merit is the proficiency in a computer language, such as R, Python, Java or C. Proficiency in written and spoken English is a must, the ability to deliver your
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higher. Your profile The candidate must hold a PhD in the field of bioinformatics/computational biology, or a related field. The candidate should fully master (requirement) R and Python (be proficient in
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or Python) Experience in writing and publishing scientific articles in epidemiology, psychiatry, or related topics Good communication skills in English, both written and oral We attach great importance
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experience in experimental research on learning or decision-making with knowledge of computational models (e.g., reinforcement learning). Good statistical skills and programming experience (e.g. R, Python
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English. A demonstrated ability to develop and optimize molecular methods for spatial or single cell genome scale analyses and proficiency in at least one programming language (R, Python) for data analysis
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) Strong programming skills (e.g., R, Python, Matlab, or C++) Proficiency in statistics/data analysis You must also have good knowledge in at least one of the following areas: Knowledge representation and
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genetics is an asset. Expertise in bioinformatic research as well as experience with whole genome sequencing data analysis, programming (Python, R), deep learning frameworks (e.g., TensorFlow, PyTorch), and
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targeted LC-MS/MS and DESI-MRM acquisition of biological samples (including tissue extraction and cryosectioning) Process and analyze these data modalities (using open-source R and python packages) Design