14 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"IMPRS-ML"-"Prof"-"https:" positions at Umeå University
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examination and expected examination date). • Research plan (max. 2500 words including references) describing the research you plan to conduct within the scope of the position • Contact details for 2 references
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of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in architectural visual representation and modelling in both 2D and
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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, working with researchers to install and communicate their projects, working with the UmArts team to communicate the program and to assist with exhibitions open to the public. Evening and weekend work may be
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enrolled in the Industrial Design Programme or in the Master's Programme at UID. - Have good social skills. - Be interested in media production according to the duties described above. It is an advantage
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assistant professor, you must: - Be enrolled in the Industrial Design Programme or in the Master's Programme at UID. - Have good social skills. - Be interested in workshop work according to the duties
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you must: Be enrolled in years 4 or 5 of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in
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to the Master's Programme at the Umeå School of Architecture, including guidance and responding to questions related to the programme and the application process. Other tasks and duties may be assigned
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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and