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seek someone who can start immediately in October 2025. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD
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administration (Department of Computer Science) Martin Fjellvang Osima, phone +47 77646244; email: martin.osima@uit.no Qualifications The position requires: a PhD degree in computer science or a related field a
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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for developing the microscopic models for magnon excitations for various experimental systems Numerical and analytic studies of the magnon thermal Hall effect for experimental detection. Requirements A PhD degree
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Participation in in-house detector testing and characterisation About you We are seeking a candidate with: A PhD in experimental nuclear physics (or who is nearing completion of their PhD) A proven track record
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will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio Candidates must hold a PhD, or be near
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reviewed publications. You will be a dynamic self-starter, exceptionally well-organised and have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research
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will be a dynamic self-starter, exceptionally well-organised and have a positive attitude. Working with work with academics, researchers and PhD students in managing and conducting research activities
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. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Experimental Photochemistry or related area. Preferred Knowledge, Skills, and Abilities: Experience in the field
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 8 days ago
for the new MPC prototype, and a PhD student creating and testing automated diagnostic algorithms using unique in-vivo databases from clinical trials launched by the LPICM in collaboration with several