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The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella of the Danish
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organising and conducting their own research project (under supervision). The programme culminates in the submission of a PhD thesis, which the student must defend in public. The programme is prescribed to 180
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Hours Per Week 37 Offer Starting Date 15 Nov 2025 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
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 01 January 2026 or later. You can submit your application
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological
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smarter food regulation and enhance microbial food safety within Denmark’s small-scale food processing sector. You will work closely with researchers from DTU Food, DTU Compute, and DTU Management
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programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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We need to reduce climate impact by replacing fossil fuel. In this PhD project you can help with the green transition by enabling widespread use of alternative fuels. As biofuels and e-fuels will be more expensive, at least initially, it is of paramount importance to use them with the highest...
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon