847 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Nature Careers
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ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a multidisciplinary, highly
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accomplishments and future plans · Teaching statement · References: names and contact information for 3 referees; letters will be requested for shortlisted candidates · Email subject: [Your Name] – Application
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of complex financial models; perform scenario analyses of payor reimbursement using patient data and contract terms. Lead analysis of all current and future payor contract terms Perform validation and organize
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cytometry workflows, from panel design to data interpretation Oversee daily instrument operations, including quality control, maintenance, stock management, and protocol standardization Provide hands
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advanced particle detection materials. Division of Microscopic Science and Technology in the Greater Bay Area This division aims to investigate structural and compositional information at the atomic scale
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Faculty Position, Department of Pharmacy and Pharmaceutical Sciences - Pharmacoeconomics / Health Ec
, translational, and clinical investigators conducting high-impact, interdisciplinary research. Investigators have access to resources developed at St. Jude relevant to pediatric cancer, including genomic data in
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to data preparation and ultimately quantification. You will oversee the research PACS at the NCT and be the main contact person for questions about imaging processing, analysis, and archiving. Your Profile
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and fire tests Data evaluation, interpretation, and scientific discussion of results Documentation, reporting, and presentation of results at scientific conferences and publication of results in
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental