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international conferences. In particular, the postdoctoral fellow will work on three complementary areas: - Development and optimization of imaging analysis protocols Improvement of hyperspectral and
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with the location in Grenoble, Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5001-ELSGEN-050/Default.aspx Requirements Research Field Environmental science Education Level PhD or equivalent
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examination committees as well as activities supporting teaching, including thesupervision of Bachelor’s, Master’s, and PhD theses. Where to apply Website https://www.unibs.it/it/ateneo/amministrazione
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Mohammed VI Polytechnic University ( https://www.um6p.ma/en ) is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 16 days ago
-connected lab. Job requirements We're looking for: a recent PhD graduate in optimization, operations research, machine learning, or a closely related field, with strong mathematical/algorithmic grounding
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but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships View Details Email Enquiry Apply Online
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time, gross annual salary of EUR 30,456.00. Application deadline: Tuesday, 29 September 2026, 13:00 (Italian time). Applications must be submitted online via the PICA platform: https://pica.cineca.it
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description The purpose of the project is to pursue research in pancake sorting, which is a well-known problem in combinatorial optimization which goes back up to a paper of Microsoft founder Bill Gates and
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und Stellenangebote > Academic staff > Research Associate/ Postdoc (m/w/d) for Project “Storage as a Sustainability Enabler through Optimization, Machine Learning and High Performance Computing” Back
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develop advanced optimization and analytics methods that improve routing, scheduling, and fleet utilization decisions while enhancing the robustness of operational schedules in the presence of uncertainty