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Field
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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computing - Correlated phenomena and quantum geometry effects in moiré superlattices and flat-band systems. - Transport phenomena in superconducting and electronic quantum devices. - Microscopic mechanisms
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Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings
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discipline such as biology (all subfields), environmental science, computer science, or mechanical engineering, and must be comfortable handling insects and conducting field work at night. Additional
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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-house codes and making use of high-performance computing (HPC) tools. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical, aerospace
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and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells. Use of animal model systems
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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the mechanism of membrane protein biogenesis and quality control at the human endoplasmic reticulum using a combination of cutting-edge functional genomics, cell biology, structural biochemistry and
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Lab (link is external) at Stanford University is recruiting a postdoctoral fellow with expertise in mass spectrometry (MS)-based proteomics to study the mechanisms of G protein-coupled receptor (GPCR