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chemistry, geoscience, and/or green chemistry research is desired. The candidate should have the ability to and be excited to work in a diverse lab group setting, plan and conduct assessments independently
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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well as to other tasks related to this research program in order to solve important problems. He/she will likely implement different algorithms in Python and potentially other programming languages. The postdoctoral
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of epidemiological methods and study design Strong experience in statistical genetics, omics technologies and their data analysis Proficiency in programming language (e.g., R, Python), statistical software (e.g. SAS
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animal species, generating standardized data that works effectively across diverse languages and cultural contexts while eliminating traditional barriers of recall bias. These methods are being deployed in
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confocal, super-resolution stochastic optical reconstruction microscopy (STORM)Excellent verbal and written communication skills in English with proven ability to prepare research manuscripts and
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Duke University, Nicholas School of the Environment - Durham Program ID: Duke -NSOE-Durham -POSTDOC_MEYER [#28186] Program Title: Postdoctoral Associate - Integrated Toxicology & Environmental
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Gastroenterology Research Training Program Postdoctoral Fellowship The Duke Division of Gastroenterology is seeking applicants for a two-year post-doctoral fellowship within the Duke Gastroenterology Research
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. The Ur-BIOME Research Program at Duke University, led by Dr. Nazema Siddiqui in the Department of Obstetrics and Gynecology’s Division of Urogynecology, is seeking a highly motivated Postdoctoral Fellow
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settings associated with cancer, Alzheimer’s disease, and stroke. Applicants must: 1. Hold a PhD with relevant skillsets in ultrasound imaging; 2. Have excellent informal and formal written and oral communication