1,514 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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of Law's lecture programme. The latter is designed to accomplish the following: support and guide students in their thesis work teach students the necessary skills for successful legal scientific research
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to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics and biology
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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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support and mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz
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Hochschule Bielefeld – University of Applied Sciences and Arts | Bielefeld, Nordrhein Westfalen | Germany | 12 days ago
, health campaigns or vaccination programmes. — Work at a university that is open to the world and strongly oriented towards sustainability, diversity and internationality. Would you like to learn more? Find
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, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi ( https://www.ipb-halle.de/en/ ). Contact details: We are looking forward to receiving your
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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with