657 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Germany
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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estimation, causal discovery, and concept-based explanation techniques Integration of causal and XAI methods into machine learning pipelines within the CRC 1294 “Data Assimilation” Implementation, evaluation
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application. Where to apply Website https://www.academiceurope.com/ads/scientific-project-coordinator-in-part-time-… Requirements Research FieldMedical sciences » OtherEducation LevelMaster Degree or equivalent
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Description For our location in Hamburg we are seeking: Doctoral Researcher in Machine Learning and Data Processing in the Field of Seismic Measurements Remuneration Group 13 | Limited: 3 years
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electronically at https://www2.mathnat.hu-berlin.de/NumAnaParDE in one single pdf-file. Since we will not return your documents, please submit copies in the application only. Your application must include a
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“Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni-heidelberg.de/karriere/berufung/ ). The application is to be submitted exclusively in electronic form, both
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The Center for Molecular Bioengineering ( B CUBE) ( https://tu-dresden.de/cmcb/bcube ) and its partner institutions, the Biotechnology Center (BIOTEC) and the Center for Regenerative Therapies
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months In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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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