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, North Carolina 27710, United States of America [map ] Subject Areas: Clinical Research Statistics / Statistics Appl Deadline: none (posted 2024/11/22) Position Description: Apply Position Description
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the remotely sensed LST to compute the spatial statistics, run the HydroBlocks model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial
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: Durham, North Carolina 27710, United States of America [map ] Subject Areas: Clinical Research Statistics / Statistics Biostatistics / Clinical Trials Appl Deadline: none (posted 2024/11/01) Position
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27710, United States of America [map ] Subject Areas: Biostatistics / Biostatistics and Data Science Data Science / Machine Learning Statistics / Statistics Appl Deadline: none (posted 2025/02/12
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innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful candidate will collaborate
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epidemiology methods relevant to cancer and population health, especially for secondary data analysis; Develop advanced statistical methodology, causal inferences in observational data, quasi- experimental
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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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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high
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: • Experience with geochemical speciation methods, particularly synchrotron X-ray spectroscopy • Knowledge of data management • Experience with statistical analysis of data and geospatial analysis tools (e.g
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of the ITEHP are basic, translational and clinical medical research; pharmacology and toxicology; molecular biology; exposure science; epidemiology and public health; statistics and computational biology