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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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programs: M.A. in Apparel Design, Ph.D. in Apparel Design, M.A. in Design, M.S. in Fiber Science, Ph.D. in Fiber Science, M.S. in Human Environment Relations, Ph.D. in Human Behavior and Design, and MPS in
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to established study design and procedures. This program will be obtaining a variety of biospecimens from women with suspected or confirmed gynecologic cancers as well as healthy women. The incumbent will be
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to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R program language for data cleaning and analysis. Organize lab meetings and
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program language for data cleaning and analysis. Organize lab meetings and coordinate training and schedules for our undergraduate research team, submitting expense reports related to conferences and
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. It is a department and college priority to enhance student, faculty and alumni connections to New York City. The department currently has 78 graduate students in eight distinct graduate programs: M.A
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Reform. This NSF-funded (#2142873) project investigates the extent to which a change agent can influence reform in chemistry doctoral programs. The postdoc will be involved in designing programming
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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celebrated and equity is a core value. Additionally, the preferred candidate should have excellent organizational skills; excellent written and oral communication skills; knowledge and skill working with