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also present the following obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued. The proof of enrolment must be made until
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Energy Modelling and Simulation. The Dworkin group focuses primarily on numerical modelling, but also performs some experiments as needed for certain projects. The group currently has 2 Postdoctoral
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
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SEAMPHONI project, funded by Horizon Europe, aims to deliver a novel, integrated, and innovative mapping, monitoring, modelling, and management system for offshore marine areas (OMAs). A key feature of
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and environment can be part of the role, including performing in vitro and, where necessary, in vivo (animal models) studies in preparation of potential first-human studies. For this purpose, there will
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 7 days ago
expertise in optical instrumentation, measurements on complex systems, data processing, and physical modeling. Strong knowledge of physics and algebraic calculus. Proficiency in programming complex
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diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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the computational models using benchmarks and experimental results while assessing and improving the performance of algorithms on high-performance computing (HPC) clusters. This is a fantastic opportunity for you to
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mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with project partners (i.e. Bolton City