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Understanding and modeling material behaviour is central to many engineering challenges. This fully funded Doctoral student project, “Material Model Discovery from Physics-Encoded Neural Networks
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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related field. Demonstrable expertise in foundation models / large language models, multimodal modelling, or agentic / multi-agent systems is essential. Experience or strong knowledge of causal discovery
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/InstituteVIBCountryBelgiumCityLeuvenPostal Code3000StreetHerestraat 49Geofield Contact City Leuven Website https://jobs.vib.be/j/130090/postdoc-position-deep-learning-for-glioblastoma-sequence-to-function-models Street Herestraat 49 Postal
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subsidiarity at the territorial scale," specifically through the "materials for energy storage" program. Using molecular modeling tools, the objective is to participate in the design of a single catalyst capable
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
of turbulence with fast-ions, sawteeth, and MHD. Will participate in validation and integrated modeling efforts in the AUG program. Will be expected to make original research contributions to the AUG program
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: Master's degree in Economics in Computer Science and Econometrics or a graduate with a specialization in Business Intelligence, knowledge of advanced econometric modeling and statistical methods, programming
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists