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Details Title Postdoctoral Specialist – Health Policy Analytics School Harvard Medical School Department/Area Department of Health Care Policy Position Description Overview: The Department of Health
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platforms o Data-driven sensor signal processing • Fluent English proficiency (B2/C1 level or higher). • Strong analytical, problem-solving, and experimental skills. Personal Skills We are looking
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Data Officer (CDO) and join our current faculty and students in growing both the scholarship and practice/service aspects of our informatics data, analytics and related AI programs. The effort will be
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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of Microsoft Office products Technical Skills & Expected Level of Proficiency: Analytical Skills: Intermediate Budgeting: Intermediate Data Extraction and Reporting: Intermediate Financial Analysis and Reporting
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for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and
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genomic and metagenomic datasets, including whole-genome sequencing, microbial metagenomics, and functional genomic profiling. They will be involved in developing analytical pipelines for demographic
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Information Position Summary Under the direction of a research scientist, in the largest comprehensive research foundation in the country, you will carry out complex analytical tasks that require
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science and data science • neuroscience and neural engineering • bio-statistics and AI-healthcare • smart/semi-conductor manufacturing • AI/robotics/autonomous systems • aerospace and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
, supervising other analysts' and students' analyses. Ability to quickly and easily learn new software, an 'analytical mindset' for identifying data issues and trends, solving problems, demonstrated data