533 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "UNIV" positions at Nature Careers in United States
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operation. Develops and maintains accurate schedules and payroll records for areas of responsibility. Provides mandatory training in-service sessions. Communicates with customers to schedule, plan, and
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on advancing understanding of childhood cancers and improving upon their treatment. The faculty member will have access to research assistants, computational biologists, genome scientists, and many other
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within the team as directed. Manages own time well to plan work and meet daily task needs. Executes routine tasks under guidance and/ or supervision. Shows attention to detail, produces quality work
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Implementation Design, plan, and execute mass spectrometry imaging (MSI) experiments and/or LC/MS-based lipidomics and metabolomics studies Prepare samples, set up instrumentation, and ensure adherence
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics, computational
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and protocols related to legal operations to plan and execute processes within area. Maintains and monitors processes and plans; supports continuous improvement of the legal operations systems and
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datasets using advanced statistical and computational methods, contributing to grant proposals and peer-reviewed publications, and presenting research findings at national and international conferences
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. Minimum Education and/or Training: Bachelor's degree in bioinformatics, statistics/computer science (with a background in biological sciences) or related field. Master's degree with no previous experience
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must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence
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implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves