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This vacancy has been extended until 08/07/2025 About the Role We are seeking an enthusiastic and ambitious senior biostatistical researcher to join our interdisciplinary team designing, developing
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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics to support real-world problems? Do you have a broad interest in health policy analyses
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Award Summary This is a 4-year studentship. Stipend of £18,873 (stipend may be uplifted subject to confirmation) and home fees are covered. Overview With typically much smaller populations of eligible participants, clinical trials in rare diseases often cannot achieve the standard 80% or 90%...
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Department: Faculty of Medicine and Health Sciences Regime Full-time Are you passionate about Biostatistics and Data Science to support real-world problems? Do you want to contribute to early
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research on chronic metabolic diseases, including obesity, diabetes, ageing, cardiovascular diseases, Metabolic Dysfunction Associated Steatohepatitis (MASH), neurodegenerative disorders, and biostatistics
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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diverse and dynamic team Provide general administrative and operational support such as HPC technical assistance Requirements A Ph.D. degree in Bioinformatics, Biostatistics, Biochemistry, or related
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Duke University Department of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing
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, biostatistics, or related disciplines with modelling and coding exposure; candidates holding Bachelor’s degree may be considered as Research Assistant I/II Experience in analysing large complex administrative
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, Health Economics, Epidemiology, Data Science, Biostatistics, or related disciplines, with post-doctoral research experience. They should have (i) a strong quantitative and qualitative background; (ii) a