518 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Nature Careers in United States
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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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office supplies, scheduling meetings, updating documents, and maintaining vendor contracts. Partner with external vendors to help plan and support departmental events. Communicate clearly and warmly with
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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development, and career advancement. Established focus in bioinformatics or computational pathology is strongly encouraged. The ideal candidate will have multiple years of experience in molecular pathology case
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pediatric assessment, teaching and decision-making skills. This is performed in accordance with physician orders and plan of care under the direction of the Administrator or designee. The Home Health RN
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for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning
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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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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
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for childhood cancer. Experience in animal xenografting, transcriptomic profiling, and cell culture are desirable. Additional experience in computational biology, 3D cell models, and single-cell sequencing would