26 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" uni jobs in Germany
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- Leibniz Universität Hannover
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- Brandenburgische Technische Universität Cottbus
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- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
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printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios of the musculoskeletal system Your Profile: The future position holder has an academic
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-track position (equivalent to Assistant/Associate Professor), resources for scientific staff and running costs as well as a start-up package. Upon successful tenure evaluation, latest five years after
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We strive for universality, diversity and interdisciplinarity
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; and other academic achievements obtained, i.e., in the course of being an assistant professor, during your postdoctoral lecture qualification (German: Habilitation) or other achievements recognized as
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Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access Open and FAIR Data Citizen Science
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research, especially using modern technologies such as additive manufacturing (3D printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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well as the Faculties of Sciences and Engineering to develop an internationally visible research program at the intersection of their research interests and the FAU key research priority of “New materials and processes
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is looking to fill, at the earliest possible date, up to two positions as a Professor (m/f/d) (Open Rank: W3 or W2 with Tenure Track to W3) of Generative AI at the department Computer Science