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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 5 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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anticancer agents for the treatment of non-small cell lung cancer (NSCLC). Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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on experience supporting computer systems (Hardware and Operating Systems): Microsoft Windows OS imaging, troubleshooting, and software management. Familiarity with MacOS support and troubleshooting Mobile device
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, graduate student(s) and laboratory manager within the Section of Hematology/Oncology in the Department of Medicine. Responsibilities Work with prostate cancer cell lines and animal models and, under
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this project is to characterize
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human cell lines, primary cultured neurons, and rodent models to investigate the cellular operational mechanisms of RNA modification in regulating gene expression in the context of neuroinflammation
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-sustainable solvents through combined computational and experimental methods Where to apply Website https://xup-chem.cloud/Home/CPService Requirements Additional Information Eligibility criteria Eligible
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that allow sequential imaging of mechanosensitive probes with high spatiotemporal resolution and sensitivity while guaranteeing cell viability Cell sample preparation & labelling FLIM imaging Data
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models