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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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your doctoral degree: A large research campus in a green setting, offering excellent opportunities for networking with colleagues and for sports and recreation alongside your work Superb scientific and
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14 Sep 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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the Department of Biomedical Engineering at Swansea University, but you will also interact closely with our national network of clinicians from across the UK. This ensures the project stays grounded in clinical
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amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system. Furthermore, we use the olfactory network as a model
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Forschungsinstitut für Nutztierbiologie (FBN) | Dummerstorf, Mecklenburg Vorpommern | Germany | 6 days ago
third-party funded project “Reducing heat stress in grazing cattle and increasing resilience through agroforestry”. In a Germany-wide practical research network for organic farming, you will investigate
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informatics Comprehensive training courses and individual opportunities for personal and professional further development. A structured program of continuing education and networking opportunities specifically
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surround users on increasingly capable mobile devices, on edge compute nodes, and even on network components that were traditionally not imagined as computational nodes. To harness this opportunity, a
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offer ideal conditions for you to complete your doctoral degree: A large research campus in a green setting, offering excellent opportunities for networking with colleagues and for sports and recreation
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International applicants – January 2026 PhD: Applicants for PhD must hold an undergraduate degree at 2.1 level (or non-UK equivalent as defined by Swansea University) in Engineering or a similar relevant science