112 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" research jobs at Duke University in United States
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that integrates multi-source observational data (e.g., eddy covariance flux towers, satellite remote sensing, and atmospheric datasets) to investigate how SAI could influence ecosystem carbon fluxes and
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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data. Prepare results for presentations, reports, and publications. Maintain all required training and certifications. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing
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identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on
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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
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ENVIRONMENT: The post-doc will be hosted at Duke University Marine Laboratory. The postdoctoral fellow will be under the supervision of Assistant Professor David Gill (Duke University, USA) and Dr. Sangeeta
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QualCore partner studies include HIV, lupus, the opioid epidemic, health disparities research, and the quality and efficacy of clinical trials. More information can be found on the QualCore website: https
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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics