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species Perform bioinformatics and computational analyses to identify microbiome-lifespan relationships Apply rigorous molecular biology methodologies to elucidate mechanisms underlying microbiome effects
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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scientists. Applicants should hold a Master’s in biology or a related field as well as a PhD in this scientific area, with a track record of publications in peer-reviewed journals. Applicants should have
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manuscripts Preparation of grant applications Providing guidance to junior researchers Your profile: A PhD degree (or comparable) and a strong background in biostatistics, epidemiology, biology, medicine
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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basis with at least 30h/week. The position is preferably to be filled as a PostDoc position, but is generally also suitable as a project or PhD position. About SEAGUARD This position is embedded in