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his/her research at Empa in St. Gallen and will get the PhD degree from ETH Zürich (under Prof. René Rossi, Department of Health Science and Technology). The desired project start is as soon as possible
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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into applications. TRILOGY brings together 11 leading institutions across Europe to train 16 Doctoral Candidates at the forefront of theory and experiment in ultrafast science. The programme offers a unique
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students Bursary p.a: £21,805 University fees and bench fees: This studentship will cover university fees
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days 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) - Organelle Biology and Proteomics in
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Programme? Not funded by a EU programme Reference Number BAP-2026-569 Is the Job related to staff position within a Research Infrastructure? No Offer Description In this PhD project we will study how a
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doctoral programme coordinated by Université Grenoble Alpes and dedicated to training the next generation of researchers in quantum science and technology. The programme offers fully funded three-year PhD
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17 Sep 2026 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Neurosciences » Neurobiology Neurosciences » Neuroinformatics Researcher Profile
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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain