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competences You have academic qualifications at PhD/DSc level preferably within one or more of the following areas oncology, epidemiology, clinical epidemiology, genetic epidemiology, public health
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-month, non-tenure track, appointment. Required Qualifications Earned PhD, ScD or DrPH in public health, epidemiology, biostatistics, statistics, mathematics, data sciences, or computer sciences, or a
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work, including through writing peer-reviewed scientific article(s) The ideal candidate: Holds a PhD in a relevant field such as epidemiology, public health, biology, or a related discipline. Has proven
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, United States of America [map ] Subject Areas: Biostatistics Environmental Health Epidemiology Appl Deadline: (posted 2025/07/23, listed until 2026/01/23) Position Description: Apply Position Description Duke University
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. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) to be obtained max
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requested and appropriate. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health
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#37507 Job Summary: A full-time POSTDOCTORAL POSITION for a PhD, MD, or MD/PhD is available in the laboratory of Kristi Kuhn, MD, PhD, Professor in the Division of Rheumatology at the University
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interested in gaining training and experience in environmental epidemiology and cancer epidemiology. The primary objectives focus on climate sensitivity hazards and cancer-related health outcomes. However
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including supervision of BSc and MSc students associated with the project As a formal qualification, you must hold a PhD degree (or equivalent). In the assessment of the candidates, consideration will be
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: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender