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. This position is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field
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collaborative research hub. Examples of the practical impact of recently published original science in our lab is available at www.goshualab.com . Qualifications Minimum qualifications (#1-4): 1. PhD or MD-PhD
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, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful
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referred to as cannabinoids. This innovative Center is a hub for groundbreaking research, dissemination of information, and education in the field of cannabis and cannabinoid science. Our mission is to
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; school and participant recruitment, data collection, and analysis; and preparation of research articles and academic presentations. The position will include regular travel within the US to school sites
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development reviews, leadership and entrepreneurship training, collaborative training opportunities, and networking and conferences. Qualifications: PhD in Molecular Biology, RNA Biology, Biophysics, or a
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are invited for a Postdoctoral Associate specialised in Computational Biology to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center
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& Therapeutics Program, and the Program in Translational Medicine, which allows postdoctoral trainees first-person access to a rich training environment spanning translational lung biology, computational data
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work independently as well as collaboratively Preferred Education, Experience and Skills: A PhD in Nursing is preferred. Strong data analytical skills. Experience using and analyzing population-based
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applicants should hold a PhD., M.D., or M.D./Ph.D. with considerable laboratory experience and a strong background in cancer biology, molecular biology, genetics, radiation biology or other related fields