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of artificial intelligence with quantum computing. The project combines evolutionary algorithms (EAs) with quantum computing, focusing on its application in complex multi-objective optimization problems. The PhD
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position as a PhD fellow to identify pathological molecular alterations in dry eye disease patients. The position has a duration of three years, and the desired start date is 01.01.25. The project is a cross
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group works with a wide range of research in quantum physics, particle physics and nuclear physics. The announced PhD project will deal with the description of strongly interacting systems
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). About the project/work tasks: The theoretical physics group works with a wide range of research in quantum physics, particle physics and nuclear physics. The announced PhD project will deal with
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Metrics for LLMs", "Post-Quantum Cryptography for AI", and "Neural Cryptography". This research aims to create innovative solutions that enhance security and resilience in AI systems. The research seeks
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upon the application of high-resolution optical methods that enable functional and kinetic studies of the morphology of brain, bone marrow and liver endothelial cells (ECs) in vitro and in situ. Because
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: Ability to develop and implement molecular dynamics, coarse-grained, and Monte Carlo simulation, and quantum simulation methods for modeling polymer nanocomposites. Knowledge of developing machine learning
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particular emphasis placed upon the application of high-resolution optical methods that enable functional and kinetic studies of the morphology of brain, bone marrow and liver endothelial cells (ECs) in vitro
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lengths, how the cows’ eye responds to light of different wavelengths, how cows perform in a dark farm environment and how farm economy is impacted by optimizing lights on a farm. The successful candidate
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experimental with elements of numerical work. Overall, the project will use a mixture of engine testing, combustion chamber testing with high speed optical techniques, CFD, chemical kinetics and environmental