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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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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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or equivalent, with support from Prof. Ohno-Machado, to launch their independent scientific careers Skills & Qualifications Recently completed a PhD in a related field. If PhD award is pending, letter from
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in
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are invited for a Postdoctoral Associate to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center investigating the causes and consequences
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in academia, the private sector or government. QUALIFICATIONS: · MD, PhD, ScD, DrPH, MPH or MSc (required) · Proven analytical experience in population genetics, computational biology
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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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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professional support. Skills and Qualifications Doctorate (PhD or EdD) in psychology, education, or a related field Specialization or demonstrated interest in developmental psychology, adolescent development