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: Education: PhD in Chemistry, Biology, Nutrition, Epidemiology, Statistics, or a related field. Experience: 8 years of relevant experience to education. Experience in research management, complex data analysis
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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of Maryland, College Park, was established in 1993 to support the U.S. Federal Statistical System by providing advanced training in survey statistics and methodology. The founding of JPSM resulted from
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Posting Details Posting Details Position Number: 1P0000 Title: Lecturer (Business Statistics) Functional Title: Lecturer (Business Statistics) Category Status: 15-Fac.Non-Tenured,Continuing Con
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languages such as Ruby, functional languages such as Haskell or OCaml, and Web programming languages such as Javascript. A solid basis in theoretical computer science as well as probability and statistics
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and effective anticipatory action in advance of food security crises. CISSM is conducting an applied research project that aims to advance statistical modeling of acute malnutrition and the use
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at the Doctoral, Master’s and Undergraduate levels, in terms of teaching and leadership. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: The ideal candidate will have a PhD
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, learning, automated ontology/taxonomy creation, or 3D synthetic data generation and refinement. Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning
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: Applicants must possess a doctoral degree (PhD, DrPH, or equivalent) and advanced research experience in public health research or related field (e.g. Environmental Health Sciences, Health Policy and