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                research to solve difficult biological questions * “own” projects by developing an independent research vision through training * establish expertise in project areas by actively seeking knowledge from 
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                (CPC) T32 training award from the National Institutes of Health (NIH, T32 CA250803, 08/06/2020 – 07/31/2030). Below are key aspects of the training program: • The Yale CPC Training Program aims to train 
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                POSTDOCTORAL ASSOCIATE The Yale Center for Emotional Intelligence, part of the Child Study Center at the Yale University School of Medicine, conducts research and teaches people of all ages how 
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                Postdoctoral position in Steven Tang’s lab in Molecular Biophysics and Biochemistry Steven Tang’s laboratory in the department of Molecular Biophysics and Biochemistry (MB&B) at Yale University 
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                Haven, Connecticut (USA) Introduction: The Department of Biomedical Informatics & Data Science (BIDS) is a new department at the intersection of health sciences and information technology. It develops new 
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                goal is to uncover how mRNA can serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease 
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                School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary 
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                Postdoctoral position Posting Date: 7/29/2024 Yale School of Medicine Department of Emergency Medicine The Data Mining (DM) Lab at Yale University lead by Dr. Samah Fodeh has an opening for a 
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                ), or reinforcement learning (RL) post-training. Experience with multi-GPU training and a strong working knowledge of reinforcement learning are also required. Familiarity with standard software development tools 
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                acquired DNA alterations in normal cells and in cancer development. The successful applicant will work independently, perform experiments, develop and optimise assays, and analyse, interpret, and present