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functioning will be supported by several EU projects (participation to congress etc..). - main mission: He/she will develop a new generation of predictive models incorporating abundance distribution across size
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and trustworthy machine learning-based clinical prediction models. Funded by the Medical Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
: The Postdoctoral Associate will work on a research initiative to improve the predictive modeling of tunnel performance and ground risks in variable and uncertain geologies. The researcher will be embedded in a team
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, takes place in the frame of the SF-PLANT project of PEPR SupraFusion which aims at assessing the impact of high temperature superconductors in the design of fusion power plants. The prediction of plasma
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media in order to identify predictive markers. Of note, we are focusing on human embryos since results clearly show that molecular differences with mouse or stem cell models call for more work on human
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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technologies for batteries. Your tasks in detail: Develop innovative quantum computing approaches for the simulation of electrochemical processes in complex electrode materials Connect quantum-enabled models
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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Oxford Martin Programme on Decarceration, and the Forensic Psychiatry research group at the Department of Psychiatry working independently to carry out risk prediction modelling and epidemiology related
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, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will have the opportunity