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at – or in close collaboration with – several partner organisations. The candidate is therefore expected to have expertise in energy system modelling, propulsion technology, aircraft design and mathematical
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intended for energy recovery). The division is part of the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material
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– several partner organisations. The candidate is therefore expected to have expertise in energy system modelling, propulsion technology, aircraft design and mathematical optimisation, and to collaborate
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quantitative genetics Expertise in the use of quantitative genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models
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The Department of Gender Studies is an interdisciplinary unit within a larger division together with Sociology and Social Anthropology, situated at the Faculty of Social Sciences at Lund University. We are now seeking a postdoctoral researcher within the framework of the research project Gender...
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, collaborating with leading experts in AI, mathematics, orthopaedics, and physiotherapy, with direct impact on patient care. About the research project This position is hosted in the Polster Lab at the Division
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, Department of Materials, ETH Zurich. Research environment The Division of Subatomic, High-Energy and Plasma Physics conducts research in theoretical and experimental subatomic physics, mathematical and high
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, innovative technologies for biomass conversion, neural network systems, and artificial intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on
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explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment, collaborating with leading experts in AI, mathematics
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genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models) Experience in data processing, statistical analysis