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. Prior experience with iPSC-based neuronal and glial differentiation is essential. Experience with multi-electrode array (MEA) methodologies and multi-omic approaches (e.g. single-cell transcriptomics
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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Laboratory (ANL), Lawrence Livermore National Laboratory (LLNL), Fred Hutchinson Cancer Center (FCC), the University of Pittsburgh, the University of Texas Medical Branch (UTMB), and the Biomedical Advanced
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UHealth campus in Miami, Fl. CORE JOB SUMMARY The Postdoctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Postdoctoral Associate promotes
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As a Research Associate (Postdoc) in the Ubiquitous and Intelligent Systems (UBIX) Research Group at the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT
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, with an emphasis on Acute Myeloid Leukemia (AML). The successful candidate will apply advanced computational and statistical approaches to integrate and analyze multi-omics and single-cell datasets in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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. The successful candidate will leverage fabrication capabilities available in the Center for Nanoscale Materials (CNM) to tailor the high-pressure sample environment in diamond anvil cells. To this end, two main
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is