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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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applications for postdoctoral positions in the area of cosmology (experimental, observational and theoretical) and new techniques in statistical and image analysis. The cosmology group is composed of Profs. Arun
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses
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website. TERM One year, with the possibility of another year extension depending on successful progress. QUALIFICATIONS Applicants should hold a PhD in Earth Science, Environmental Science, or a related
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are encouraged to submit a cover letter detailing their interests and relevant experience(s). Requirements: - MD, MBBS, PhD, DSc, MD/PhD, MD/DSc, MBBS/PhD, or MBBS/DSc in a relevant field - A strong background in
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Positions in the research group led by Professor Maiken H. Mikkelsen at Duke University. We're seeking dynamic, innovative individuals with a PhD in physics, electrical engineering, materials science
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. Requirements: - PhD or MD/PhD in a relevant field - In-depth knowledge of the central nervous system and a strong background in metabolic disorders are required. - Extensive laboratory experience, particularly
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Institutional Training Initiative (CITI Program) for conducting research will be provided at Duke Requirements: - PhD, MD, or MD/PhD in a relevant field - Demonstration of conducting clinical research in the past