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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
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to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being commercialized, quantum
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. Potential research topics include: Use of hyperspectral reflectance for evaluating leaf functional traits. Integration of hyperspectral imaging with genome-wide association studies (GWAS). Detection
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multicultural environment and daily occasions of interaction with world leaders in the fields of cancer, basic immunology, and cancer immunology, a thriving environment, an exciting research project and multiple