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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 1 day ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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years of doctoral work and 1 year of career promoting work as assigned by the department. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in
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, medicine, physics, engineering, or related fields, apply to be part of our international, interdisciplinary research community. How to Apply We recruit twice a year in a highly competitive process
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Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 7 Oct 2026 - 23:59 (Europe/Rome) Country Belgium Type of Contract Temporary Job
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complete a PhD within a four-year period. Based on your own strengths and research interests, you will work together with your supervisors to develop a PhD project closely aligned with the research
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[email protected] If you have any questions about the recruitment process, please contact Lara Broman, HR & PhD Coordinator, e-mail: [email protected] Application deadline: 12.10.2026
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we challenge you to take charge of your own learning process . An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on‑campus TU/e Student Sports
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8th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Empirical Software Engineering Apply for this job See advertisement This is
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29 Aug 2026 Job Information Organisation/Company AMOLF Research Field Physics » Condensed matter properties Physics » Optics Researcher Profile First Stage Researcher (R1) Application Deadline 24
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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