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are inviting qualified applicants to apply for a doctoral student position in the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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at the Doctoral School of Chemistry at the Université de Bordeaux. Initially, the candidate will be hired for 13.5 months (max.) as a Doctoral Candidate (DC) within the European Doctoral Network MultiSMART. The PhD
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 5 hours ago
Job Code: 19/2025 Job Offer from September 08, 2025 Are you eager to join an international community of scientists to tackle novel and exciting research projects in the areas of biochemistry
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protein dynamics (e.g., Martens et al., Nat Commun, 2018, 2020; Nat Protoc, 2019). The lab is equipped with state-of-the-art technology (HDX-MS, native MS, cryo-EM access, smFRET), and as part of Plant-PATH
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Thermoacoustics of net-zero swirl stabilised premixed hydrogen combustors Award Summary 100% fees covered for Home students, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment to contributing to
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academic writing Familiarity with large language models or multimodal systems An interest in visual reasoning, educational technology, or human–AI interaction Experience with neural networks for image
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the DESIRE network. Disseminate their research in the scientific community and through public engagement activities ensuring visibility. Website for additional job details https://desire-msca.eu/ Work Location