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models remain a limiting factor in moving to a quantitative scale. Molecular simulation has benefited from recent advances in machine learning and generative artificial intelligence to such an extent
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Institut de Chimie des Substances Naturelles (ICSN), CNRS, UPR 2301 | Gif sur Yvette, le de France | France | 7 days ago
human cell lines, including breast cancer models, as well as in the eukaryotic model Saccharomyces cerevisiae. First, the protein network of the ferredoxins will be mapped using proteomics, genomics, and
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project aimed at advancing our single-cell ribosome profiling technologies in cancer. For further information about the lab, please visit https://www.sendoellab.org/. The Institute for Regenerative Medicine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
students and 50 undergraduate students. Position Summary The successful candidate will perform research investigating molecular-level processes in reverse osmosis (RO) membranes and how these processes
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The Belopolski Research Group (QuantumX Labs) is
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in childhood. You will investigate gene therapeutic lipid nanoparticles in cell culture models, brain slices and animal models. Your profile Degree in life sciences Expertise in basic molecular biology
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in childhood. You will investigate gene therapeutic lipid nanoparticles in cell culture models, brain slices and animal models. Your profile Degree in life sciences Expertise in basic molecular biology
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Internal Number: 7054570 Assistant/Associate/Full Project Scientist - Instrumentation Microscopy Advanced Bioimaging Center Department of Molecular and Cell Biology Position overview Position title
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advantage but not required. A working knowledge of experimental methods in cellular and molecular neurobiology. Comfort around human-derived tissues/samples. Prior experience working with mouse models
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties