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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The PhD student will contribute to a large industrial research collaboration with a major
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, political languages and democratic outcome will be key. The ideal candidate will be educated to PhD level, with established expertise in South Asian/Tamil history or politics (or clear evidence that
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PhD Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Permanent Job Status Full-time Offer Starting Date 2 Sep 2026 Is the job funded through the EU
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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programmes in Computer Science – with a particular focus on Computer Engineering/Hardware - and to develop innovative teaching. Desirable Criteria Experience of microarchitectural design, hardware-software co
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging foundational
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Computational Imaging Mass
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of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing
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trainees. Develop and implement tools and processes for performance tracking, analytics and quantitative/qualitative measurements to evaluate success outcomes and training environments for key programs