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, with collaboration from: Alfen – BESS developer, Stedin – grid operator, Eneco – energy supplier, ENTRNCE – electricity market expertise provider, Kyos – developer of market optimization tools
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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You
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, understand their properties, and try to generalise these constructions to higher dimensions. You will be embedded in the research group of Pieter Belmans and, more broadly, in the Utrecht Geometry Centre, a
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then be integrated into state-of-the-art, detailed energy system models (e.g., PLEXOS, PyPSA) to support more robust planning of future decarbonised systems and to stress test their operational
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the seasonality of that precipitation. Past warm climates such as the Eocene provide natural experiments to test model performance in projecting non-analogue future global and regional hydrology and dependence
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, stimuli selection, recruitment, participant testing, report writing). Experience with experimental software (e.g., Presentation, PsychoPy, E-Prime, Gorilla). Experience in data analysis and programming in R
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techniques to create predictive models that guide sustainable product design; publish research outcomes through datasets, scientific software, and academic publications; collaborate with researchers in food
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collaborators design targeted experiments to test model predictions. Come be part of the vibrant Computational Biology community at Utrecht University! Your qualities You are a curious and collaborative colleague
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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
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of dissolved (DOM) and particulate organic matter (POM) by seagrasses and to what degree this contributes to carbon burial in these systems. This project will examine the role of microphytobenthos (MPB) in