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& Brian Hargreaves. Partial list of applicable skills: Expertise in MRI physics Experience with raw MRI data management Experience with MRI reconstruction Clinical studies: data collection / analysis Pulse
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. Consideration will be given to the nature of these publications, their impact factor and citation count, scientific and technological level and innovation, diversity and multidisciplinarity, international
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learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a demonstrated ability
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given to candidates studying early China using analytical methods such as zooarchaeology, paleobotany, ceramic analysis, and lithic analysis. The successful candidate will be expected to: Teach one course
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major role both in physics data analysis and in hardware/electronics work on the CMS Phase-2 muon detector upgrades. The selected candidate will likely need to travel to Geneva, Switzerland at various
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods
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, Tumor Immunology, Molecular Biology, Protein Biology, Mouse work, Flow Cytometry/FACS, LC-MS/MS, TCR- and RNA-seq, and AI analysis. Required Application Materials: CV, research summary, and published
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tumor spatial biology via single cell spatial analysis of the tumor microenvironment. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation
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environment provides many professional growth opportunities in academia, entrepreneurship, and public service. Responsibilities include: Investigate cutting-edge techniques in system modeling, analysis, and
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removal. A primary focus will be on the development and analysis of downscaled Regional Oceanic Modeling System (ROMS) simulations of the Santa Barbara Channel; the qualified candidate will also have the