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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 14 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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-orbitronics device and harvesting the high harmonic signal generated. This part will involve the use of RF simulation software such as Comsol with RF modeling libraries. Finally, She/He will have to develop
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data relevant to computational models and simulations. Design and test a custom antenna to investigate HE–RF correlations. Where to apply E-mail michele.urbani@ingesco.com Requirements Research
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relevant experience in industry focused on designing and building state-of-the-art AI models, data science techniques and applications across diverse domains. The successful candidates will work at the
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human patients, canine patients, and mouse and organoid models -- offering a unique opportunity to identify conserved genomic features and accelerate biological insight. Duties include*: Collect, manage
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resource allocation Specific Requirements We are looking for highly motivated Ph.D. researchers with interests software, modelling, simulations, or algorithms. The applicant should hold a master's degree in
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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initiation and evolution. Different rheological parameterizations of yield-strength and dislocation creep will be compared in regional and large-scale numerical models of mantle dynamics. We will in particular
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jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Licínio Gomes Roque Effective Members: Jorge Carlos dos Santos
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for students with BSc degree with reference number BI|2026/882 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a