94 algorithms-"NTNU"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in France
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 13 hours ago
according to established rules, the second approach can pave the way to a respective verification service provided by European NMIs. Reference data generation and robust point cloud partitioning algorithms
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21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique et des Systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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) of the Toulouse Institute of Fluid Mechanics, as part of the ERC HYROPE project (Synergy Grant). This project is in collaboration with 3 European partners (ETHZ, NTNU, TU Darmstadt) and concerns the fundamental
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. Host laboratories: ESRF and ILL (France), FZJ (Germany), AREA (Italy), NTNU (Norway). Where to apply Website https://jobstats.robopost.com/count/clic.php?v=2216179&j=636&external_ats_id=18… Requirements
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are at the heart of Horizon Europe. Host laboratories: ESRF and ILL (France), FZJ (Germany), AREA (Italy), NTNU (Norway). Where to apply Website https://jobstats.robopost.com/count/clic.php?v=2216213&j=636
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: Computer science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Distributed Algorithms – Fault Tolerance – Cloud computing JOB /OFFER DESCRIPTION We are looking for a young researcher interested in fault tolerance and
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new