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Field
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with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and develop common data model specifications
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infectious disease epidemiology. This position offers an exciting opportunity to contribute to the FFG-funded project Zoonoses & Climate , supervised by Associate Professor Amélie Desvars-Larrive in
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, epidemiology, outcomes research, pharmacy, pharmacy administration, medicine). City: Horsham State: PA Location: Piscataway (RBHS) Create a Job Match for Similar Jobs About Rutgers University Rutgers, The State
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their experience and interests, within the larger research team of Dean Dariush Mozaffarian . Examples may include conducting pooled epidemiological analyses or collaborating with the development of a global
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Epidemiology and Population Health Postdoc Appointment Term: Support is available for 1-year appointment with renewal up to 3 years of training Appointment Start Date: Flexible Group or Departmental Website
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Duties: 1) Conduct research and provide technical assistance to the PI, students, and trainees on data analyses related to food animal disease epidemiology.(50%) 2) Collect and organize data for research
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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(nursing applied behavioral sciences, health behavior, health policy, social behavioral health, epidemiology, or public health) Strong academic writing skills Ability to work independently and with a team
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Posting Information Posting Details Department Epidemiology - 463501 Posting Open Date 05/07/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post
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with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and develop common data model specifications