14 phd-in-cloud-computing Postdoctoral positions at Yale University in material-science
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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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The Zhi Laboratory at Yale University (Department of Biomedical Informatics and Data Science) is seeking a highly motivated bioinformatician or computational biologist (Ph.D.) to join a method
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. The position allow new PhDs to develop a strong research program in a stimulating collegial environment alongside faculty across the Social Sciences and Humanities at Yale University. In addition to conducting
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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data according to research specifications. Uses a computer terminal to input and retrieve data and to generate reports Processes and summarizes data using scientific or statistical techniques. Assists in
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the lab’s research program. Potential research areas include: ER redox homeostasis and glutathione metabolism ER metabolite transporters and nutrient flux Organelle-specific metabolomics and proteomics CRISPR
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and cellular mechanisms underlying these disorders using cell-based assays, blood vessel organoids, and zebrafish and mouse models, working alongside neurosurgeons, computational scientists, and
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: Postdoctoral Compensation Qualifications: • PhD, MD, or equivalent degree in microbiology, mycology, molecular biology, biochemistry, pharmacology, or related disciplines • Strong publication record and
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program. Our work focuses on the development of advanced cancer models, integrative genomic analyses, and the discovery of novel therapeutic strategies. Using systematic, interdisciplinary approaches