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Field
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Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information enabling a better understanding of the clinical
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. Our dynamic team
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Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE observations of greenhouse and ozone-depleting gases using models, measurements, and inverse
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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field. Strong foundational knowledge in participatory research and social sciences methods. Strong experience working with large datasets (ideally, but not required, with fisheries, socioeconomics data
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given to applicants who have received their Ph.D. degrees in behavioral neuroscience or related fields within the last 3 years and have experience in computational neuroscience and data mining using
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combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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hire’s education and experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly
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with computational scientists to integrate and interpret large-scale genomics data. Present research findings in lab meetings, departmental seminars, and conferences; prepare manuscripts and fellowships
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field