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environment for pursuing doctoral studies in advanced computer science. We offer a stimulating, top-notch international research environment covering a wide variety of research areas, such as algorithms and
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the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering. This includes: Designing and implementing advanced algorithms
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such as NRMM working profiles, battery control systems, hydraulic systems, energy management systems, and transmission models, this thesis aims to deliver efficiency improvements across different machine
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and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics. We are currently looking
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species spanning hundreds of millions of years across all layers of gene regulation and under different growth conditions. Moreover, EPIC will design nearly a million sequences to systematically test and
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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develop various tools that make the design of microfluidic chips easier and solve, e.g., routing and placing problems under different constraints, depending on the use case. Simulation: We use and develop
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be achieved, for example, by developing learning algorithms and bringing together different sensor systems in the vehicle and on the road. Where you put the focus - that is up to you. The concepts