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Field
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high-frequency data and building robust, data-driven models that impact decision-making in real-time markets? We invite applications for a Joint-PhD position at the University of Amsterdam, in
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or FEM) and/or theoretical material modeling will be given preference We offer: chance to collaborate with
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, preferably experience with genetic engineering of model bacteria, like Bacillus subtilis fluorescence microscopy interest in chronobiology (circadian biology) ability to work in a highly collaborative
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will undertake several research activities. These include the development and implementation of algorithms for self-supervised denoising and artifact removal in EM images, which may involve modeling
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
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science, chemical engineering, material science, or a related program; a strong commitment to developing predictive models that link ingredient functionality to product performance and sustainability
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complex urban settings. Together with researchers from the fields of energy modelling, social network analysis and governance, you will develop new spatial energy concepts to integrate the social
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If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is your gateway. As