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Field
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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properties uncovered in optical/IR, or redshifts measured of these extreme IFRSs, will be the first of their kind, helping to determine their nature. If confirmed as very numerous high-redshift AGN
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investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
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techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. The corresponding reaction mechanisms
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, such as control and automation, mechanical engineering, robotics, electromechanical or mechatronics engineering. Ideally candidates have experience in system identification, theoretical and numerical
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and benchmark the design with respect to existing state-of-the-art robots/cobots in terms of speed, collision tolerance and safety, both numerically and experimentally. In the past years our research
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organisation. The hallmark of research is the combination of organismic, evolutionary, and molecular biology utilising a wide array of methods. Neuroscience Neuroscience is one of the most rapidly developing
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factors that accelerate material deterioration (e.g., hydrogen embrittlement, corrosion). The primary tasks include developing advanced multiphysics frameworks (finite element/phase-field methods
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numerous international initiatives being taken (Global Soil Biodiversity initiative, Global Soil Partnership, Soil Biodiversity Observation Network, …) because it is increasingly realized that soil organisms