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A postdoctoral research associate position is open in Epidemiology & Cancer Control. We are seeking a highly motivated Postdoctoral Research Fellow to join the laboratory of Dr. Yadav Sapkota in
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scientific research in the field of infection prevention & control and clinical epidemiology in critically ill patients, including solid organ transplant patients. This includes the following: To independently
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Fellow in Epidemiology and Biostatistics in the School of Public Health (Ref.: 532936), to commence as soon as possible on temporary term basis for one or two years, with the possibility of renewal subject
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-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in Epidemiology and Biostatistics in the School of Public Health (Ref.: 532936), to commence as soon as possible on temporary
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Postdoctoral Associate in Biostatistics/Epidemiology The Finkelstein Laboratory in the Division of Nutritional Sciences, Cornell University is seeking applications for a full-time post-doctoral
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Fellow in Epidemiology and Biostatistics, School of Public Health (Ref.: 533101), to commence as soon as possible for one or two years on temporary term basis, with the possibility of renewal subject to
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) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in Epidemiology and Biostatistics, School of Public Health (Ref.: 533101), to commence
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21 Aug 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Medical sciences Researcher Profile Established Researcher (R3) Country Brazil Application Deadline 20 Sep 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job...
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[map ] Subject Areas: Biostatistics Epidemiology Salary Range: $61,008 to $87,000 Appl Deadline: (posted 2025/01/13, updated 2025/01/09, listed until 2025/12/31) Position Description: Apply Position
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering