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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and implementation of morphodynamic models to define
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at the design, characterization, and modeling of a new class of electrostatic devices based on the interaction between dielectric fluids and dielectric polymers... Where to apply Website https
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project: “A numerical survey of the magnetisation
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31 Mar 2026 - 10:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling methods (e.g., CT-FFR, predictive software models
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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review of fire modeling. Improvement of selected models. Analysis of the implications for transport networks. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial