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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
projects using massively parallel reporter assays (MPRA) to quantify the impacts of disease-related genetic variants. Finally, they will interact with nearby collaborators to plan and analyze functional
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We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical engineering, Department of Electrical Engineering. Become part of our innovative team and contribute
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concerns, particularly due to its slow renewability and the ecological impacts associated with peatland degradation and greenhouse gas emissions. In parallel with broader efforts to identify more sustainable
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
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organic analysis as a primary means of detecting life. To optimize the science yield of such missions, it is critical to understand processes that govern maturation of organic matter prior to sampling and
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of multiple medicines across cellular mechanisms in parallel, ensuring accelerated assessment of existing and new therapies. Improving our understanding of the cellular basis of disease will help bridge the gap
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interest in research focused on the valorization of such by-products. In parallel, consumer demand for clean-label and functional foods, together with increasing restrictions on synthetic additives, has
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to significant losses during processing, transport, retail and storage stages. In parallel, advances in sensor, information and communication technologies, together with increased computational capabilities, have