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methods to compare the new designs and techniques with existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical
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existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical methods and also work closely with all project
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, variations in concentrations of atmospheric pollutants, and shifts in direct application of nitrogen to ecosystems. The candidate must have a PhD degree in a related field, be fluent in computer programming
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) at Duke University is seeking a Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical
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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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of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in Environmental Toxicology or a related field. We seek applicants with a strong interest in environmental toxicology
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(e.g., Planet-scope; NASA’s EMIT, GEDI, and ECOSTRESS; NEON’s AOP products) alongside diverse ecological data (e.g., monitoring network, PhenoCam, Citizen Science data). Responsibilities include
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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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scientists. Applicants with previous experience teaching anatomy at some level and already holding a PhD will be favored. Appointments are renewed annually based on performance for up to three years
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organoids, CRISPR-Cas9 gene editing, single-cell RNA/ATAC-seq, and spatial transcriptomics. A PhD, MD, MD/PhD, or equivalent degree in biomedical sciences-related fields and a track record of publications in