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Field
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, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research fellowships starting in 2026/2027. The PhD candidates will be embedded
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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. Together we will make technological advances that bring compact, reliable and economical energy management into our homes. Motivation The UK is charging full speed ahead towards its ambitious goal of net
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mineral surfaces Parameterize, set up, and validate molecular-scale models of complex soil-relevant systems Quantify structural, dynamical, and energetic properties governing water retention and soil
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chemical and/or biological laboratories Ability to work independently as well as collaboratively in an interdisciplinary and international research environment Based on the complexity of the project
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laboratories Based on the complexity of the project, motivation to learn new skills to expand scientific knowledge High degree of analytical working style Excellent communication skills and ability to work in an
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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analysis that informs and improves national and local strategies, policies, and programmes. It is part of the UK’s What Works Network and collaborates with colleagues from across the UK and internationally
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Jyvaskyla University of Manchester Kone Oyi The candidates will have the opportunity to visit various partners in the network, supported by a mobility allowance. At the Chair of Machine Learning for Complex
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Network project funded by the Marie Skłodowska-Curie Actions (MSCA) programme. The project brings together leading academic and industrial partners from eight European countries (Germany, France, United