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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
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automation tools for academic and translational applications. Required Qualifications at this Level Education/Training PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity
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applications in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
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. Postdoctoral applicants are expected to have completed their PhD within the last two years, and the position would last 1 year. All fields of economics will be considered. The selected candidate is expected
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the nation. The school consists of four departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its
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assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and integrate into active
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The department is seeking a full-time Post Doctoral Associate to join Dr. Wenpin Hou’s
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collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
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for a full time academic or research career. Duties will include curating imaging and outcomes data, managing research projects and workflow, working with statisticians to analyze data, as
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Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks - Executing experimental designs Data