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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 9 days ago
11 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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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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/ijtpp5030016. Required skills / qualifications________________________________ Diplomas : PhD in Engineering, Physics, Theoretical and Applied Mechanics, or Applied Mathematics Experience : None Knowledge
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skills / qualifications________________________________ Diplomas : PhD in Engineering, Physics, Theoretical and Applied Mechanics, or Applied Mathematics Experience : None Knowledge required: Contributions
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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Level and duration: PhD. Salary depends on experience
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objectives. For example, digital image processing tools, such as filtering or mathematical morphology, could be evaluated to extract structural elements of road edges from images. By combining spectral and/or
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine