290 structures-"https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" research jobs in Sweden
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system. Want to make a difference? Join us and contribute to better health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:908138/type:job/where:39/apply:1 Requirements Additional
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structure preserving Finite Element methods for multiphase flows with applications in X-ray tomography. Qualification requirements Requirements are: A PhD, or an international degree deemed equivalent to a
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advice and by building a social network in their new hometown. http://www.sdcn.se . Project description The position will be associated with a project on topological phases in moiré materials, focusing
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Lab for day-to-day experimental work, but will be fully embedded in both laboratories, with structured co-mentorship from Nyberg and regular integration into both research environments. For more
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postdoc with a strong background in mathematics/control combined with ability to collaborate with cancer researchers and immunotherapy specialists. The second project, Structure, Dynamics and Control
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barrier; it is a sensory interface with the world. Yet many of the structures that allow vertebrates to detect mechanical stimuli remain poorly understood, especially outside mammalian models. Our recent
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/postdoc
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wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job
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of individual cows. The work includes designing and conducting an observational animal‑health study, with structured health checks performed together with veterinarians to link rumen‑fill dynamics to feed intake
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models