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Postdoctoral Position in Resolution of Inflammation The Libreros lab is a highly collaborative, friendly, supportive, and dynamic environment in the Department of Pathology and Vascular Biology
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analytical approaches for high-content imaging screen data sets. The ideal candidate has experience with machine learning and cancer biology. Previous work with high-throughput approaches is desirable. First
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metabolism including RNA epigenetics and RNA binding proteins in metabolic diseases. They will utilize cell and molecular biology methods, advanced techniques (scRNA-seq, eCLIP-seq, etc.), and genetic animal
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have a PhD in a relevant field such as Immunology; Reproductive Sciences; or Cellular and/or Molecular Biology. Prior Reproductive Immunology and/or Reproductive Biology experience is preferred but not
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injury (bleomycin and virus) along with standard approaches in mouse genetics, molecular biology, stem cell biology and cell biology. The candidate will also assist the Principal Investigator (PI) in
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preparation collaborate with other researchers teach/mentor other lab members QUALIFICATIONS: Ph.D. in bioinformatics, computational biology, computer science, statistics, genetics or related field required by
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diverse cutting-edge genomic technologies to advance biomedical and life sciences breakthroughs. http://ycga.yale.edu/index.aspx We seek a postdoctoral associate with cell/molecular biology expertise
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to advance our understanding of previously underexplored biology. In particular, we are interested in applying our technological advances to neurobiological questions. For an example of previous work, please
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, Computational Biology, Statistics, Genetics, or a related field. Strong programming skills. Demonstrated experience in developing algorithms using high-performance languages such as C, C++, or Rust is desirable
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model as well as in patient derived IPSC and brain organoids. Applicants should be highly motivated with experience in molecular biology, neurological techniques, and mouse study. Of particular interest