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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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collaborators include Dr. Rob Wust. All supervisors are embedded within the Physiology Section of the Department of Human Movement Sciences at the Vrije Universiteit Amsterdam. This section works on a wide range
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all backgrounds. We offer a stimulating and collaborative environment in the physics of life. Phd students in our group have the opportunity to learn from the best scientists in the field, publish in
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this by conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute
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all backgrounds. We offer a stimulating and collaborative environment in the physics of life. Phd students in our group have the opportunity to learn from the best scientists in the field, publish in
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new techniques in machine learning and work with large language models. You will collaborate closely with researchers at the Centre for Language Studies at the Faculty of Arts, who have expertise in
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of the Norwegian Centre for Headache Research (NorHEAD). The position is funded by the University of Bergen. Learn more at www.norhead.org . International and collaborative environment This position offers a unique
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sensors. We seek a motivated and creative candidate eager to learn new skills, with a strong collaborative mindset and excellent proficiency in written and spoken English. The position offers opportunities
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of Lleida), in collaboration with Dr. Lorenzo Quirós Díaz (TranSkriptorium AI, S.L.) and Dr. Roberto García González (University of Lleida). The doctoral research will be embedded in the Digital Humanities
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engineering, with a strong willingness to learn the complementary skill set. Experience in collaborative research environments. Excellent communication and teamwork skills. A proactive attitude towards learning