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The Department of Physics, Umeå University, is looking for a PhD student in computational physics with a focus on understanding the coordination mechanisms between the nucleus, mitochondria, and
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Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Sklodowska-Curie Joint Doctoral Network. This network consists of fifteen (15
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The Institute for Bioengineering of Catalonia (IBEC) in Barcelona develops interdisciplinary research of excellence in the fields of biomedical engineering and nanomedicine, from basic research to medical applications. Its mission is to consolidate a strong international position in these fields...
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense Campus) is offering two PhD scholarships in mathematics and computer science education, focusing
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods