61 assistant-professor-computer-science-data "https:" "https:" "https:" positions in Germany
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English. You can write and defend your thesis in English or in German. The programme is designed to be completed in three years. During this time, defined milestones will help you and your supervisors
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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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online elements Programme duration 6 semesters Beginning Winter and summer semester Application deadline The deadline for scholarship applications is 1 February every year. Tuition fees per semester in EUR
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developing their teaching. Our Advanced Data and Information Literacy Track (ADILT) complements all study programmes by teaching the fundamentals of computer science and data processing methods, along with
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application. Contact and Consulting Information and advisory centres DAAD Rio de Janeiro Branch Office Serviço Alemão de Intercâmbio Acadêmico Rua Professor Alfredo Gomes, 37 Botafogo 22251-080 Rio de Janeiro
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programme must be submitted online. For more information, please see the website: https://www.scripts-berlin.eu/birt/bgts/bgts-application/index.html All required documents must be submitted online by
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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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of the Department of Computer Science & Artificial Intelligence, Prof. Dr. Wolfram Burgard, wolfram.burgard@utn.de . You can find more information on our data privacy policy at https://www.utn.de/en/privacy/ Where
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19 Dec 2025 Job Information Organisation/Company UNIVERSITY OF TECHNOLOGY NUREMBERG Research Field Computer science Researcher Profile Established Researcher (R3) Country Germany Application