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, Machine Learning, Artificial Intelligence, Mathematics, or similar (if the Master is not yet completed, please submit a short statement by the supervisor concerning progress) excellent coding skills (Python
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qualifications (advantages) For the doctoral programme in question, the following are considered as other qualifications: Good programming skills in Python or C++ Experience in machine learning frameworks
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. Experience with scientific data-processing software (such as Matlab, Python, R, C, Labview, or equal) is a plus, as well as experience with statistics and chemometrics and interest in dairy farming. You are
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areas: AI/ML, image processing, molecular modeling and docking Strong experience in Python and C++ programming (knowledge of Fortran is a plus) Strong interest in interdisciplinary research bridging
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programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome
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. Maîtrise des outils statistiques et computationnels (Python, MATLAB et/ou équivalents). Solide dossier de publications scientifiques, en tant qu’auteur principal ou contributeur clé, dans des revues à fort
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skills in R and/or Python Experience analysing complex biological datasets A clear scientific vision on precision nutrition and integrative data approaches Preferably, you also have: Experience with
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documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis of high-throughput omics data is required Knowledge of cancer biology is a strong
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programming skills in Python Experience with scientific Python tools such as pandas, scikit-learn, matplotlib, and Jupyter; experience with PyTorch is a plus Familiarity with microbiome data analysis
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(e.g. PACT). Skills in data analysis (e.g. Python, MATLAB, ImageJ) will be considered an asset. Specific Requirements A scientific scholarship from the National Science Centre (NCN) may be awarded to a