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the MSCA-DN MICROSUNSET for a period of 48 months. Your research is embedded within the chair Global Nutrition (https://www.wur.nl/en/chair-groups/human-nutrition-and-health/global-nutrition
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the infrared spectral region experience with programming for data analysis in Python and experimental control in LabVIEW ability to work both independently and collaboratively with other researchers Additional
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
, France, industries, etc). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09879 Requirements Skills/Qualifications Good skills in Python (Pytorch). Ideally, prior experience with
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. You will be co-supervised by Dr. Vassilis Sitokonstantinou and Prof. Ioannis Athanasiadis. Where to apply Website https://www.academictransfer.com/en/jobs/360046/phd-position-trustworthy-ai-and
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, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good programming skills in Python/C/C++ Good oral and written skills in English
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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Murguia and Nathan van de Wouw. Where to apply Website https://www.academictransfer.com/en/jobs/359999/phd-on-secresy4you-hybrid-physi… Requirements Specific Requirements A master’s degree (or an equivalent
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present your research at leading venues (CHI, TOCHI, JMIR, EHPS, Health Tech, etc.) Where to apply Website https://www.academictransfer.com/en/jobs/360012/phd-on-ai-driven-lifestyle-coac… Requirements
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-chemistry and Reactivity of Surfaces and Interfaces Research Group - PhySI), Vandœuvre-lès-Nancy, France, and the Centre de Recherche en Automatique de Nancy (CRAN, UMR 7039 CNRS, BioSiS Research Team
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process