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of the levitating sample and a speed of data acquisition • Studying the effect of DC magnetic field of 1T on the oscillation of the droplet using images of the droplet registered with a high-speed camera
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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Number 101261699 Is the Job related to staff position within a Research Infrastructure? No Offer Description General Scope: This thesis project, conducted at the Institut Néel, aims to study InAs/Sn
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and aquaculture, and landscape studies. As a higher education and research institution under the authority of the French Ministry of Agriculture, Food Sovereignty and Forestry, we train professionals
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to minimize the “Pandemonium effect”, which otherwise biases the beta decay strength distribution affecting both fundamental studies and applications. You will work on beta decay of radioisotopes of interest
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Scientific Themes: This PhD project aims to study the response of cancer cells to ionizing radiation in the presence of radio-enhancing metallic nanoparticles. The objective is to characterize
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to hundreds of eV) and fluxes, leading to different erosion rates—up to 10 nm/s. Therefore, we have undertaken preliminary studies on deuterium interaction with a commercially available boron target and found
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actively contribute to the ATLAS experiment at CERN. The research will focus on the analysis of the LHC Run 2 and Run 3 datasets, with prospects for extending the studies to the High-Luminosity LHC (HL-LHC
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Reference Number NS25-FZJ03 Is the Job related to staff position within a Research Infrastructure? No Offer Description Context & Job description Thesis subject: High-Resolution Time-Resolved Microstructural
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
scales. The objective of this project is to explore a new simulation methodology based on neural surrogate models. By incorporating a “memory effect” into numerical solvers, our approach aims