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, mathematics, statistics, biostatistics, medicine and public health, environmental sciences, engineering, law and justice, and other areas. Candidates should submit applications online at https
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Mathjobs.org | 29 days ago
in Statistics include modern computational statistics, statistical genetics, spatial statistics, Bayesian inference, time series, categorical data analysis, bioinformatics, analysis of medical images
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in Statistics include modern computational statistics, statistical genetics, spatial statistics, Bayesian inference, time series, categorical data analysis, bioinformatics, analysis of medical images
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and activities may change at any time with or without notice. Required Qualifications Education : PhD in Biomedical Informatics, Computer Science, Biostatistics, Statistics, Data Science, or related
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funding. Qualifications PhD in a relevant discipline, e.g., environmental statistics, environmental economics, ecology, etc., and demonstrated strength in applied data science with environmental
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: https://oph.ucsd.edu/ Qualifications Basic qualifications (required at time of application) Candidates must have a PhD or MD/PhD in Neuroscience, Developmental or Cell Biology or other health
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: • PhD in biological sciences • Expertise with multi-omic library generation from postmortem brain • Expertise in Spatial Transcriptomics • Fluency with bioinformatic analysis pipelines for single cell
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environment. Your profile You hold a PhD in Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis
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extramurally funded research program that leverages the biorepository resources via cutting-edge methods such as spatial transcriptomics/proteomics and digital pathology analyses. Additionally, the successful
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
analytic models of infectious disease and will use dynamic models and/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and