289 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"Fraunhofer-Gesellschaft" positions in Denmark
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involvement. Postdocs and PhD students are encouraged to collaborate within the group, across departments, and with other universities. About the Department The Department of Biology hosts research programs and
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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the general study program. The PhD Stipend is open for appointment from 01.02.2026 or as soon as possible thereafter. The position is for 3 years, and the workplace is in Aalborg. Your work tasks You will be
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Stefano Donati. Key selection criteria: Professional qualifications
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from January 1
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be able to teach and supervise at the political science program and/or other degrees at the department. Experience in applying for external funding and a strong international network are considered
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding