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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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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We strive
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through the EU Research 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
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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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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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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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academic / professional and personal reasons for the choice of degree programme and for wishing to participate in the programme A current reference letter by a university professor that contains information
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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