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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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, ideally in the life or natural sciences working experience with Amphibians or other aquatic vertebrates, fluorescence microscopy, and behavioral experiments is advantageous knowledge and experience in
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is advantageous knowledge and experience in evaluating scientific data, primarily from imaging techniques, is advantageous good written and spoken English teaching experience in the subjects of “Animal
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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and the conditions under which desorption may occur. Little is known about how environmental ageing and transport affect the sorption behavior of plastic particles. In arable soils, key knowledge gaps
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/Qualifications Master’s degree in Hydrology, Environmental Sciences, Geoinformatics, Engineering or related fields Knowledge of flood hazard and risk modelling Strong programming skills in Fortran, Python, R
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computing and application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in the team, to effectively collaborate and to
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly