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between the immune system and other organ systems), 4) systems and computational immunology, and/or 5) synthetic immunology and immuno-engineering. St. Jude Children's Research Hospital is a highly
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Faculty Position - Immunology or Bone Marrow Transplantation & Cellular Therapy - Center of Excellen
Job Description SJCRH St. Jude Children's Research Hospita l has launched a significant expansion of its translational immuno-oncology and immunotherapy program with the establishment of the Center
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Research Associate (Postdoc) in Animal Network Ecology § 28 Subsection 2 HmbHG Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Lab of Animal Network
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. Maintain and share essential study documents (e.g., investigator files, case report forms) as required. Assist with protocol submissions (internally sponsored and/or externally sponsored) for review by
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Coordinator will directly support the department chair, as well as engage with internal and external faculty and thought leaders. This person should be able to work in a dynamic, collaborative environment
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the fields of cancer survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
, computational biology, psychology and neuropsychology, neuroscience, exercise physiology, oncology, pharmacology, radiology, surgery and biostatistics. St. Jude leads two of the world's largest pediatric
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through translational science. This multidisciplinary research extends across campus including the schools of Medicine, Engineering, Pharmacy, and Veterinary Medicine and engages breast cancer advocates
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biostatistics II for the MS in Applied Biomedical Data Sciences program. Engagement in educational research is a plus. Job Responsibilities: Teach graduate-level courses with an emphasis on active, student
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, stat, 1050:1, 2014. - Jiang, Z., Zheng, Y., Tan, H., Tang, B., and Zhou, H, Variational deep embedding: An unsupervised and generative approach to clustering, In International Joint Conferences