542 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Nature Careers in United States
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Job Description Join the Zhou lab ProteinPaint team (https://proteinpaint.stjude.org/team/) to contribute to the development of an open-source platform for biomedical data visualization, analysis
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your
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, the only national lab in the State of Texas and one of only two laboratories conducting research on a university campus at Biosafety level 4 level in the U.S. Overall research funding is $176 million and
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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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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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at https://policy.psu.edu/policies/ac21 Interested candidates must submit an online application at Penn State's Job Posting Board , and should upload the following application materials: a cover letter
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at https://policy.psu.edu/policies/ac21 Interested candidates must submit an online application at Penn State's Job Posting Board , and should upload the following application materials: a cover letter
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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/
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periods for learning, and how individuals’ innate variations interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to