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of pavements. All these topics are addressed at various (material) scales, using a combination of experimental and numerical techniques. Current research is focused on sustainability-related topics, such as
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
, talks). It is a preference if you additionally have experience with GW source/environment modelling, post-Newtonian/perturbative methods, cosmological simulations, or GW data analysis. This is what we
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of processes. The adoption of new sustainable process technologies will necessitate changes in heat treatment methods, particularly in heating systems. These changes will primarily affect furnace atmospheres
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written communication skills in English are required. Other advantageous qualities include experience with coding (Python\Matlab) and numerical methods, as well as familiarity with concepts in complex
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing screening methods to enable subsurface H2 storage? If you enjoy working
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producers) render existing, centralized, white-box methods for planning and operations inefficient: A scientific leap towards power grid self-organization is needed. This Assistant Professor position is
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power prosumers (consumers and producers) render existing, centralized, white-box methods for planning and operations inefficient: A scientific leap towards power grid self-organization is needed