2,054 programming-language-"St"-"University-of-St"-"St" Postdoctoral positions in United States
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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and research, and create programming that fosters dialogue around AI’s role in shaping the future. Postdoctoral Scholars will serve as the Initiative’s AI specialists, helping to shape the College’s
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employees, based on position, which includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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to innovate and optimize semiconductor materials and device design. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with
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publications and other professional activities, appropriate to the number of years in the field. Expertise with high-performance programming languages. Expertise with building and maintaining software systems
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processing, written and oral presentation and problem-solving skills are desired. English proficiency is required. Required Application Materials: CV with references Stanford is an equal opportunity employer
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cardiovascular sciences. Proficiency in experimental design, data analysis, and interpretation. Excellent written and oral communication skills, with the ability to convey complex scientific concepts effectively
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conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports
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-doctoral fellow position in the areas of machine learning, statistics, and data science. Chapman University is a nationally ranked institution offering traditional undergraduate and graduate programs in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with