201 computer-"https:" "https:" "https:" "https:" "CNRS" "CNRS " PhD scholarships in Denmark
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to take up the challenge of designing, developing and applying advanced X-ray imaging methods by combining experimental and computational approaches in physics. You will be working with laboratory X-ray
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Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description If you are aspiring to shape the future of industrial R&D or academia
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Job Status Full-time Is the 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
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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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committed candidates from varied backgrounds who are eager to contribute to cutting-edge and interdisciplinary research. Successful applicants will ideally have: A relevant MSc degree in computer
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At the Technical Faculty of IT and Design, the Department of Architecture, Design and Media Technology (CREATE) offers four fully funded interdisciplinary PhD stipends within the study program
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
letters. Closing date Feburary 28th 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will
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thereafter. The PhD project will focus on developing and testing AI-assisted computational workflows for predictions of both ground- and excited-state material properties, with applications spanning