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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 20 hours ago
No. 1 most affordable institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income
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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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, machine learning, and data science. The successful candidate will work with Dr. Yohanna Mejia Cruz on the development of sensing and computational frameworks to characterize human mobility and behavior
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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New York University Grossman School of Medicine | New York City, New York | United States | 2 months ago
their downstream signaling pathways. These studies involve the identification and characterization of ICTs in T and B cells, investigation of the molecular mechanisms by which these ICTs control cell
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on the discovery and translation of next-generation peptide-based cancer immunotherapies. The laboratory has
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street-view imagery (SVIs), geospatial data, mobility data, and qualitative insights to generate evidence-based recommendations for policymakers, planners, and researchers to create healthier urban