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, and spatial genomics. Supervision by leading scientists: Prof. Sven Nelander, expert in systems biology and tumor modeling (Uppsala University; main supervisor) Prof. Rebecka Jörnsten, professor in
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subgroups with rapid disease progression or poor treatment response. This will enable more personalized treatment ultimately improving the health of thousands! Job description In addition to optimizing
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criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with
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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
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sustainability assessment of pharmaceuticals by enabling early-stage prediction of environmental impacts, optimizing synthetic pathways, and supporting data-driven decision-making for greener drug development
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly
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. You will join the teams of Dr. Markus Heinrich at the Institute for Theoretical Physics of the University of Cologne and of Prof. Matteo Rizzi at PGI-8 at the Forschungszentrum Jülich. You may consult
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material
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optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and