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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable that this PhD scholarship is
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and Université Paris Cité located on the Saints-Germain-des-Prés campus whose objective is to characterize the mechanisms underlying brain functions, from synaptic transmission to the activity
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. Demonstrable experience in the use of machine learning potentials. Ability to fit molecular mechanics force fields. A proven track record in developing computer code and software engineering. Excellent written
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• Deep Learning for Motion Tracking in MRI Public Health • Clinical Pathways and Decision Support for Patients Suffering from Acute Chest Pain Requirements: We encourage applications from qualified
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melt and warming raise concerns on how these climate-driven changes will impact future CO2 uptake by these polar waters. Project objectives: The project objectives are to extend the Rothera carbonate
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objectives of this project are to 1) differentiate between magmatic and post-emplacement microstructure, and 2) identify the effect of deformation on the geochemistry of the main rock-forming minerals
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the survival of breast cancer patients. The Nottingham Breast Cancer Research Centre is pleased to offer a fully funded PhD research studentship. We have a longstanding research interest, and international track
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objectives are met efficiently. Qualifications: A Ph.D. in Materials Science, Environmental Engineering or a related field. Proven experience in synthesis and characterization of nanomaterials or composites
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THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 117474 The overall objective of the proposed offer is the development and study of advanced methods for analysing accidents in nuclear reactors
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adaptation of the mesh during simulation to resolve and track features in the flow. The focus of your PhD would be on developing novel algorithms to efficiently redistribute and rebalance the parallel