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seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches to understand how complex biological functions emerge from
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for Molecular Sciences (HIMS) at the University of Amsterdam. Our research focuses on the development and application of advanced molecular simulation and multiscale modelling methodology to obtain novel and
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experiments that will reveal the physical mechanisms of transport and burial of microplastics and POC in turbidity currents down submarine canyons; incorporate these mechanisms into an existing computer model
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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. This includes building model-ready databases, developing simulation chains that link process simulations with analysis, making workflows for validation, and contributing to developing AI-driven tools
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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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combining technology development with process modelling and assessment across the waste value chain. The members of the consortium include 4 other research Universities, 2 Universities of Applied Sciences
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Requirements We are seeking an enthusiastic and results-driven candidate who meets the following criteria: A successfully completed MSc degree in: Agricultural economics, food and agribusiness, or sustainable
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where