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research program, NANAQUA DCs will focus on nano(functionalized) materials that are redefining the possibilities for safe, efficient, and sustainable water treatment solutions. Where to apply Website https
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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to begin on 1 September 2026 Find more information about the project here: Gender Struggles in the New Conjuncture For more information about the PhD-program: https://www.gender.lu.se/research-0/doctoral
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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 3 days ago
not required to be admitted, but German language courses are offered for free for interested PhD students. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral
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20 May 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description VICE-RECTOR in
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Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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qualifications and motivation. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in mathematical sciences (https://www.ntnu.no/studier/phma ) within three months
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in