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a Horizon Europe funded research project which launched in March 2025 and is coordinated by Utrecht University. It brings together 24 partners from a wide-range of disciplines in future climate model
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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), one method of SCI, poses on the Earth system. Specifically, the postdoctoral scholar will analyze climate model simulations to quantify the impacts and risks of SAI on climate extremes such as droughts
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with simulation techniques, energy efficiency models, large-scale energy consumption data, machine learning techniques and interpretation (unsupervised); - Education, experience and research orientation
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. Planned Tasks: (1) Develop LES/RANS numerical simulation models for the hydrogen mixing and injection prototype; (2) Validate the numerical models through experimental analysis at the PRF facilities in
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structured tests (e.g., attack simulations/red teaming). Thus, the specific objectives proposed for the internship are: (i) Analysis of the state of the art of methodologies, mechanisms, and tools for control
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their Ph.D. or have it completed by the start of employment. Skills and Knowledge: Knowledge of modeling and data analytics to develop simulation codes and for conducting data analysis. Superlative ability
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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on funding). About HQNL: We are an established experimental research group based in the Optoelectronics Research Centre (ORC ) at the University of Southampton . We investigate quantum light-matter
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model to an intensively studied crevasse field in Central West Greenland. This crevasse field is actively forming inland from the coast. The research goal is simulating the material properties, stress