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porous solids for the capture and/or degradation of toxic agents (or simulants) and sensors. Main activities Identification of MOFS composition Using existing databases that have already identified
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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at SCK CEN and will be responsible for analyzing and interpreting the collected data, as well as for fully simulating the experiments conducted. Finally, he or she will contribute to the drafting
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . Recent studies from the lab (https://cruchagalab.wustl.edu/ ) have demonstrated that circular RNAs
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Information on being a postdoc at Washington University in St. Louis can be found at http://postdoc.wustl.edu/prospective-postdocs . Interested candidates should send a cover letter and a copy of the CV
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Offer Description Project title: Improving Precision in Flavour Physics with Simulation-Based Approaches IP: Dr. Bernat Capdevila Host institution / group: Institute of Cosmos Sciences (ICCUB), University
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. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test realistic implementations of baryonic feedback
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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9 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » 3 D modelling Engineering » Mechanical engineering Engineering » Simulation