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topic of transport geography.More specifically, you will work on the topic of "inclusive, sustainable, and efficient accessibility: systematically evaluating and learning from 'smart' initiatives." What
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of the future. We work for and with society. Our motto is: we are making places better together . If you would like to learn more, visit rug.nl/frw . The Department of Economic Geography, in which the position
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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in the first instance, with possible extension thereafter. We are looking for a talented ambitious postdoctoral researcher to join a Cancer Research UK-funded programme to examine the role of cell
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | about 24 hours ago
Efficacy 2023 Nature: PD-1 instructs a tumor-suppressive metabolic program that restricts glycolysis and restrains AP-1 activity in T cell lymphoma Learn More Explore the Choi Laboratory’s research
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Institutet our overall aim is to uncover fundamental features of normal and leukemic stem cell biology that can instruct new strategies for clinical surveillance and treatment in hematologic malignancies. Your
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via protein and RNA analysis including histology, immunohistochemistry, cell culture, cellular assays, RT-PCR, Western blot analysis, ELIspot and cellular imaging. Scientist will help use the data
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in