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strengthen your application: Experience in matrix hydrodynamics and Zeitlin's model for the simulation of 2-D turbulence. What you will do Supervise master’s and/or PhD students to a certain extent Possibility
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in mathematics, applied mathematics, or mathematical physics awarded no more than three years prior to the application deadline*. A solid knowledge of the geometric structure of magnetized fluid models
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on the design and optimization of various types of turbomachinery. The design and optimization
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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
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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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. Qualifications Requirements for the position: PhD in Gender Studies or another social science discipline (the dissertation must be completed before the hiring decision). Documented experience in digital
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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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– 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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University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment