79 data-"https:" "https:" "https:" "https:" positions at Yale University in United States
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of Economics and Department of Statistics and Data Science: Associate/Full Professor - We seek a candidate whose research bridges econometrics, computation, statistics and data science in the modern AI era
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key role in the day-to-day operations of a dynamic team of faculty, research scientists, and students committed to advancing LGBTQ mental health through research (https://medicine.yale.edu
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, mental health and substance use policy, and vaccine policy, though we are not limiting the search to these areas. Information about the Department and YSPH can be found at http://publichealth.yale.edu/hpm
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to their professional goals and interests. Additional responsibilities include the possibility of occasional travel (once or twice a year) to conferences and workshops to present research. Additional Information
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partners, and performing clinical assessments such as vital signs, phlebotomy and electrocardiograms. RAs are responsible for maintaining research records, completing case report forms, entering data
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partners, and performing clinical assessments such as vital signs, phlebotomy and electrocardiograms. RAs are responsible for maintaining research records, completing case report forms, entering data
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partners, and performing clinical assessments such as vital signs, phlebotomy and electrocardiograms. RAs are responsible for maintaining research records, completing case report forms, entering data
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partners, and performing clinical assessments such as vital signs, phlebotomy and electrocardiograms. RAs are responsible for maintaining research records, completing case report forms, entering data
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/registration within 90 days of employment). 2. Demonstrated knowledge of medical assisting standards and principles; knowledge of operational processes in a medical setting (i.e. clinical data collection
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/registration within 90 days of employment). 2. Demonstrated knowledge of medical assisting standards and principles; knowledge of operational processes in a medical setting (i.e. clinical data collection