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of working with, and breeding rodent models. Excellent communication skills. An interest in placental and/or fetal brain development and experience of genomics or transcriptomics and bioinformatics would be
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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. Applicants should possess a Ph.D. degree in Biomedical Engineering, Biochemistry, Cancer Immunology, Genomics, Bioinformatics, or a related field, and demonstrate exceptional experimental, writing, and
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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. Assists investigators in planning and design of experiment. Provides customized bioinformatics and computational support from the project design to publication phases including consulting on experimental
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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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initiatives develop, coordinate, and manage clinical trials in alignment with regulatory standards draft and submit grant proposals to secure research funding apply bioinformatics, biostatistics, and
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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biochemistry, bioinformatics and microbiology point of view and have significant experience in similar research. UCC is an accredited research organisation and as such can form hosting agreements with third
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postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good