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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical
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for the tasks of WP3 of the project. Activities Optimize fermentation conditions using Y. lipolytica with industrial by-products and compare production yields to synthetic media; Optimize dye extraction
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, you will contribute to impactful research in optimization. About us The department of Mathematical Sciences has about 200 employees and is the largest department of mathematics in Sweden
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
experiments to understand and improve tool performance, and – most importantly – by summarizing findings in white papers and application notes. A full job description can be found here: https://mitnano.mit.edu
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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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Job Description DTU Civil and Mechanical Engineering at Technical University of Denmark invites applications for a position as Professor in Multiphysical Design and Optimization. The professor will
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programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code
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analyses, as well as the development and optimization of 3D cell culture models to be applied in nutrigenomic research as physiologically relevant systems for mechanistic investigations. Previous experience
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: Raleigh, North Carolina 27606, United States of America [map ] Subject Areas: Artificial Intelligence, Optimization, and Quantum Computing Appl Deadline: none (posted 2025/11/12) Position Description
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, because the patient becomes a source of ionizing radiation during surgery, this technique raises important radioprotection concerns that must be addressed in optimizing the clinical protocol. Monte Carlo