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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as well as experience with tools/packages
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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knowledge document in the area of organs‑on‑chips, biomicrofluidics, sensors, and CFD; Manufacturing and optimization of biomicrofluidic and organ‑on‑chip systems with electronic components; Execution
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of complex mixtures, experimentally and/or theoretically. Strong background in conceptual process design, simulations tools (e.g. Aspen Plus and Aspen Adsorption), process optimization and TEA. Ability to work
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and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine
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an optimal, least costly way. The candidate as the key member of the DIFFQRN project will conduct scientific research, contribute to writing publications, and present obtained results at conferences and