324 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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assays and integrative computational analysis to unravel the complexities of immunity in health, disease, and treatment. This work will need expert knowledge of human immunology, which you will apply
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of supporting diversity at our centre, we actively promote women in science and in leadership positions. We among others do this through our gender equality plan and the cascade model measures which we
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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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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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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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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