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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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. -Mission-specific modules such as autonomous firefighting, sampling, rescue operations, or large-scale mission planning. For further information about a specific subject see general curricula for the Board
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metabolomic profiles, environmental exposures, and cardiometabolic health. You will do this by analysing unique, high-dimensional OMICs data generated within Exposome-NL. You will work closely with leading
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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Posting Details Position Information Classification Title Temporary Hourly Employment Category Temporary Is this an Hourly position? Yes Work Hours/Week 0-40 Overtime Eligible? Yes Position Location
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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Experience analyzing and interpreting large-omic datasets. Multi-disciplinary experience in integrating cellular and molecular mechanisms and data with phenotypic, physiological, and psychological data
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practical experience in data science applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work