64 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Yale University
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science, and biomedical and biological engineering. This position is funded by the T32 Training Program in the Department of Anesthesiology at Yale, and will provide mentorship on transition to research
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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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doctoral degree in genetics/epigenetics, statistical genetics, computer science and bioinformatics, or other relevant areas at the time the position begins • Excellent organization and project management
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, protein engineering, systems immunology, and tumor microenvironment profiling by scRNAseq / flow cytometry are preferred. The ideal candidate will be self-motivated and driven to develop new treatments
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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
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biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
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(SUDs), psychiatric conditions, and other behavioral and lifestyle characteristics that impact human health using large datasets and biobanks including the Million Veteran Program (MVP), the SUD working
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at national/international conferences Access to a broad network of collaborators at Yale and beyond Qualifications We welcome applicants with backgrounds in either experimental biology, computational biology
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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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high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in population genetics, computational biology, or a related area. Candidates with