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highly motivated to impact patient outcomes through translational approaches to the treatment of T cell malignancies. Experience with in vivo mouse immunotherapy models, protein/antibody engineering and
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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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, societal, and environmental implications of digital technologies. We are looking for individuals with a background in social data science to shape the future of digital ethics and policy in a collaborative
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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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, communications, and updates. Required Education and Experience PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years
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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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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 the thesis advisor
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where it would be cost-effective to screen and (iii) incorporating multi-omics data to better identify at-risk individuals beyond lifestyle and environmental approaches alone. Our research program has
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proposals or equivalent, with support from the faculty, to launch their independent scientific careers Skills & Qualifications • Recently completed a PhD in a related field. If PhD award is pending, letter
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES