129 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers in United States
Sort by
Refine Your Search
-
. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
-
the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array
-
, 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
-
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
-
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
-
mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
-
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
-
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
-
of synaptic neural circuit function Molecular, genetic and viral tools For more information about our research, visit our lab website: https://www.med.upenn.edu/fuccillolab/
-
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