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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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and Human Nutrition Department. While the role involves minimal to no benchtop research, it is an on-site assignment and requires strong expertise in statistics, data analysis, and coding. The work
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research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques – one
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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biology, and microbiome analysis as well as experience writing manuscripts for peer-reviewed journals. Skills with statistical analysis of data using R and bioinformatics skills are desired. Candidates must