1,577 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions in Germany
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of MEAs. You learn the entire production process and support us in planning, preparing, and conducting various experiments. Your tasks include investigating different mixing processes and chemicals
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International elements International guest lecturers Courses are led with foreign partners Teaching/work obligations or opportunities PhD students are obliged to teach the course "Science and Health in Football
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to conduct cutting-edge research in the field of biohybrid materials using synchrotron techniques. Your responsibilities Research associates will be expected primarily to teach and conduct research
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) independent, scientific working style and quick learning abilities good English skills, strong teamwork and communication skills, and a passion for experimental work What you can expect State-of-the-art
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of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We are looking for a Post
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The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
environment that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection
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excellence, and continuous learning in close cooperation with core facility heads, administration and researchers Your Qualifications: PhD or an equivalent degree in a relevant scientific discipline Several
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sciences as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard