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more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about/organization/scientific-sections/section-for-aquaculture If you are applying from abroad, you may find useful information
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
Department of Molecular Medicine at SDU is looking for applicants for a PhD scholarship within the field of biomarker and therapeutic target investigations in biliary atresia. We are looking for a
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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information Further information may be obtained from Professor Athanasios Kolios, atko@dtu.dk You can read more about DTU Wind at https://wind.dtu.dk/ If you are applying from abroad, you may find useful
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hires, ensuring the safety, compliance, and integrity of the workplace. For further information about stipends and salary as well as practical issues concerning the application procedure contact Lisbeth
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research team with strong ties to architectural practice. The position is open for appointment as of August 1st, 2026, or soon hereafter. The position is a three-year role, located in the Department
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. Genetic risk predictions from the model will be used by the AI-integrated PhD to examine how individuals’ behavior and psychological safety are affected. The ideal candidate has completed, or is about to
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Job Description The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark, Odense, invites applications for a PhD position in algorithms. The position has a
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, ensuring the safety, compliance, and integrity of the workplace. Read more about The Technical Doctoral School of IT and Design Salary and terms of employment The employment is in accordance with
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for PhD stipends or integrated stipends in the field of Machine Learning for Intelligent Hearing