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Information fellowship Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number MPOBS_2026_02 Is the Job related to staff position within
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candidates with strong backgrounds in computational neuroscience and machine learning. Applicants must hold a Ph.D. in Computer Science, Neuroscience, Biomedical Engineering, Applied Mathematics, or a closely
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Background The Faculty of Science and Engineering at the University of Manchester has been investing in Early Career Researchers for many years, increasing the diversity of our staff
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with the University's key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported to pursue
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equivalent in Information Technology, Computer Science, Electrical/Electronic Engineering, Automation, Cybernetics, Physics, Mathematics, Statistics, Nautical Science, Maritime Technology, or a similar field
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the Innovation and Digital Transition Thematic Programme – COMPETE 2030, under the following conditions: 1.Scientific field: Civil Engineering – Option of Hydraulics. 2. Admission Requirements: The candidates
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with the University's key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported to pursue
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with the University's key focus areas. This includes building productive research networks across RMIT and with local and national partners, both internal and external. You will be supported to pursue
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Department of Informatics at Blindern, Oslo. Job description The PhD project focuses on security analysis of critical infrastructures with an emphasis on communication networks and system components
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field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE