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focuses on four key research themes: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics and Data Science. There is extensive collaboration between these themes
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reactivity on surfaces, with direct industrial and societal relevance? Do you enjoy research, and does the prospect of using simulations and theory to inform and guide experiments motivate you? We are now
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₂, MoSe₂, WSe₂, and WTe₂. For training the machine learning models, you will generate datasets from electronic structure theory calculations using Quantum ESPRESSO, Wannier90, and EPW. You will apply
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on Theory, Physics Data Processing and Detector R&D. Nikhef avails over excellently equipped technical departments in mechanics, electronics and computing. The research is carried out in the KM3NeT group
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theory and practice. In the position, the PhD candidate will work on topics related to CSR and sustainability in marketing, including sustainable consumer behaviour and sustainable brands. The project will
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statistical learning theory and probabilistic models; prior exposure to notions of robustness, resilience, or uncertainty quantification is an advantage. Mathematical maturity and experience with formal
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materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical
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relevant for biodiversity, climate and justice; (2) Advancing future visioning methodologies by integration of qualitative scenarios, qualitative system models, and transformation theories; (3) Developing
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also collaborating with international researchers. The PhD candidate reports to the Deputy Head of Research at the Department of Psychology. Duties of the position Reviewing relevant theory and research
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of politics and economics or politics and philosophy/political theory. Qualifications and personal qualities: The applicant must hold a master's degree or the equivalent in comparative politics or political