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optimization of imaging parameters. Overall, this project aims to explore, develop and integrate advanced imaging modalities towards their use for biological samples. Work tasks The main task of the position is
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quantification and robustness analysis in high-dimensional and noisy data. The models will be complemented with rigorous theoretical analysis and optimization methods, where tools from spectral graph theory
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authentication and usable security (e.g., biometrics, CAPTCHA); Privacy (e.g., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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immunohistochemistry. Flow cytometry and cell sorting. High-throughput screening approaches. Development or optimization of molecular methods. Postdoctoral scholarships may be established for foreign researchers who
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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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in electric vehicle applications. Scientifically, the following parts will be included in the research: a) Fabrication and optimization of large-scale hBN films of high quality with high in-plane
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to test various adjustments in the indoor diet in order to alleviate metabolic challenges during transition to pasture. The aim is to optimize pasture utilisation and milk production in part-time