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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided Overview Edge artificial intelligence (Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI...
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. Number Of Awards 1 Start Date 1 October 2026 Award Duration 4 years Application Closing Date 27 April 2026 Sponsor EPSRC Supervisors Professor Kamelia Boodhoo (kamelia.boodhoo@newcastle.ac.uk ) and Dr
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 days ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity
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8 Mar 2026 Job Information Organisation/Company Faculty of Science, Charles University Research Field Biological sciences Computer science Computer science » Cybernetics Computer science
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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gerard.cornelissen@nibio.no Associate Professor Erlend Sørmo Researcher at MINA, NMBU +47 95248151 erlend.sormo@nmbu.no Apply for this job Deadline 26th April 2026 Employer Norwegian University of Life Sciences (NMBU
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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for the awarding of Science Abroad Traveling Scholarship. Study level: Graduate research Student type: Domestic and international students Study stage type: Current study Study area: Science Need help understanding
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection Biology Department, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and