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-Friday, 8:00am-4:30pm (40 hours per week) Responsibilities Project Support - Data Analysis and Documentation (70%) QTL analysis of microbiome and disease resistance data for tetraploid potato populations
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and
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characterization, analysis and written data interpretation of results within a larger formational context. The candidate must be familiar with methodologies and data collection and analysis associated with
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. Experience of Good Clinical Practice, or the willingness to obtain certification, is essential, while experience of statistical analysis, motion capture systems, postgraduate study, or clinical research
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will have opportunities to work on LLM/AI agent development, data analysis, simulation, and evaluation, with applications to disaster resilience and urban systems. Students with backgrounds in
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of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by
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, pathway enrichment, and gene ontology analyses, integrating publicly available genomic and transcriptomic datasets with laboratory-generated data, developing reproducible data analysis workflows using R and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to conduct research in space physics. Duties/Responsibilities Analysis (50%) Conduct
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working
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researchers, clinicians, trainees and knowledge users. Our mission is bold and focused: to reduce the incidence and mortality of gynecologic cancers by 50% by 2034. The GCI is powered by the determination