46 condition-monitoring-machine-learning-"Multiple" Postdoctoral positions at Nature Careers in Germany
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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diving license A full car driving license At a workplace, directly on the Kiel Fjord with many leisure and recreational opportunities, we offer you: Good conditions for work-life balance: We offer, among
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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, attractive working environment work in an interdisciplinary team together with basic scientists, surgeons and clinician scientists and bioinformaticians multiple opportunities for continuing education and the
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)! Tübingen has a long history of academic excellence (founded in 1477; DNA was discovered here ; linked to 11 Nobel laureates) and is an innovation center in medicine and machine learning. About Eberhard
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microbiological assays Analyze infection dynamics and monitor phage resistance evolution Characterize therapeutic phage combinations in preclinical models (including animal experiments abroad) Collaborate on novel
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold conditions are particularly vulnerable, as their