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ingredients that allow the method to maintain linear O(n) scaling even when particle distributions are highly irregular. On GPUs, simultaneous tree traversal is difficult to implement efficiently, because
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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AI and Optimization Lab with Prof. Anastasia Koloskova. The emphasis of the doctoral project is on the intersection of theory and practice in areas such as distributed optimization, federated learning
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the (HF) losses in the winding and the core, but also the cooling/temperature distribution in the transformer, resonances in the winding due to parasitic capacitances, and electrical insulation. You will
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, webinars), conduct ongoing stakeholder mapping, and document knowledge needs and contributions between researchers and stakeholders Communication & dissemination: Coordinate the preparation and distribution
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seismology, geothermal energy, and geobiology. Access to cutting-edge tools, algorithms, and high-quality seismic datasets. Competitive salary and benefits, including academic development and training
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, multi-objective optimisation (e.g., genetic algorithms), gait analysis/biomechanics. Proven track record in deploying machine learning models into production (preferred) Proficiency in programming in
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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High
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insulation and current interruption, motivated by the need to develop novel engineering solutions. We work closely with leading manufacturers power transmission and distribution equipment and our team is
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proven experience in FPGA programming and high-speed electronics circuit design and testing. Experience in quantum information processing and quantum communication algorithms, as well as fiber optics