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of mixed phase numerical or analytical flow modelling for icing. Experience conducting and analysing experimental data is desirable. You should have a record of academic publications in the field and be able
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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. The TQM Unit carries research in the broad area of condensed matter theory and statistical physics, making use of both numerical and analytic techniques. Postdocs in the Unit have the opportunity
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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diversity of methods and data available to the discipline. We are further developing our core undergraduate programmes and will be recruiting world leading staff accordingly to ensure these programmes
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researchers. OCBE is internationally recognized, with interests spanning a broad range of research areas - including methods for high-dimensional data and data integration, especially in molecular medicine
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currently comprising approximately 20 staff members, conducting studies using both qualitative and quantitative methods to investigate youth development and social inequalities. The Centre maintains close
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, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming Experience with modelling the climate, photochemistry, or escape
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Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae - detailing your education and research