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1 Mar 2026 Job Information Organisation/Company South East Technological University Department Walton Institute Research Field Computer science Researcher Profile First Stage Researcher (R1
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7 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Engineering » Materials
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 16 days ago
wording published by Decree-Law No. 123/2019 of August 28; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (Regulation No. 950 / 2019 of 16 December https
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a
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. Embedded in the Department of Computer Science, Group Science, Engineering & Technology of KU Leuven, DistriNet brings together a substantial critical mass of over 100 researchers, including 15 full-time
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in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between the academic and industrial partners, to research the self-organisation and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 12 days ago
excellence and extensive professional networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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Location: South Kensington, London About the role: We are recruiting a postgraduate researcher to undertake a PhD project on the technology and protection of multi-terminal MVDC distribution systems
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record