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linked to exercise limitations and PEM, with the aim of improving patients' quality of life. The PhD candidate will analyze existing data from Harvard Medical School to investigate the connection between
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through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations
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relationships, shape our thought processes, and, importantly, guide our behaviors. This PhD project focuses on evidence-informed educational innovation. Using a solid theoretical foundation for CLMA, it will test
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simulations. Job Description Are you passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges? We're seeking a PhD candidate to develop innovative
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the intricate dynamics of molecular collisions and reactions? Want to operate world-unique equipment? Join us as a PhD candidate and contribute to exciting research on cold and controlled reactive molecular
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Vacancies PhD Candidate Infrastructure monitoring and NaTech disaster response with drones and machine learning Key takeaways The project is part of a large-scale research project funded through
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Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis
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the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging approaches, aiming to understand how cells determine their fate and function. Your job In
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PhD position in Developmental Biology Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 29 September 2025 Apply now The translation
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for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis and Innovatie (TKI) project in a public-private partnership (PPP) scheme in