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Field
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pioneered B-cell epitope peptide vaccines targeting immune checkpoint molecules and oncogenic growth factor receptors and is advancing novel multivalent and multispecific vaccine platforms toward clinical
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technologies to study the behavior of tissues at single cell resolution. We offer an inspiring intellectual, collaborative, and multidisciplinary research environment to support your career goals and provide
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staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. To learn more about the Crick, click
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
experimental stem cell biology, human and mouse model systems, and machine learning approaches for phenotyping, target discovery, and therapeutic evaluation. Will be hired by the MIT Jameel Clinic for Machine
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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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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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under the supervision of Dr. Kate Hyun in the Sustainable Mobility and Resilient Transportation (SMART) Research Lab and support an interdisciplinary portfolio of sponsored research examining how
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the start of the position. Experience in basic cell and molecular biology techniques in kidney disease research. Preferred Qualifications: The candidate should have: ● Background in cell/molecular biology
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to promote neurological recovery. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and