18 combinatorial-optimization positions at Chalmers University of Technology in Sweden
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—knowledge essential for designing new materials with properties optimized for specific technologies. The main research tools will include advanced neutron spectroscopy at facilities such as the ISIS Neutron
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to maintain system stability during major disturbances (e.g., generator outages, transmission line failures, or system separations) Developing methodologies for optimally allocating these services based
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characterization of algal food protein ingredients, ensuring high yield and quality. The latter will be optimized from several aspects, including e.g., in vitro nutrient digestibility and volatile compound profile
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systems. This PhD project, part of a national initiative, aims to use AI to design and optimize thermal interface materials (TIMs). It combines machine learning, materials informatics, and experiments
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division of the Department of Electrical Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and
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. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano