70 machine-learning "https:" "https:" "https:" "University of St" Fellowship positions at Nature Careers
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and a true passion for cutting-edge bench-to-bedside research are encouraged to apply and provide three professional references. LEARNING OBJECTIVES Trainees will perform basic and translational
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, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more please visit: https://jobs.utsouthwestern.edu
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cells 4. Roles of retinoic acid and its receptor in regulation of the immune system, focusing on T and DC regulation 5. Immunotherapies and chimeric antigen receptor (CAR) therapies Lab website: https
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We have an exciting research opportunity for a Research Assistant / Associate tojoin our team. The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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Molecular Mechanisms and Translational Cancer Research A postdoctoral fellow position is available in the Brugarolas lab (https://brugarolaslab.com/research-summary/ ) Research in the lab spans
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benefits available can be found at http://www.discover.ukri.org/benefits-of-working-at-ukri . The LMB is a world-class research institute within UK Research and Innovation (UKRI). UKRI is nine research
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of immune cell function. These projects are focused on making safer and more effective cell therapies (e.g., CAR-T) and gene therapies for cancer and beyond. We are an interdisciplinary lab spanning
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning