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. Preferred Qualifications: - Familiarity with Matlab, Python or R for data analysis. - Research experience involving neuroscience methods. - Master's degree or Bachelor's plus 2 years postbaccalaureate
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health problems and existing methods of intervention and control. Working knowledge of the principles of educational and social psychology and how they apply to a health education program; and applicable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
Hours per week 0.01 FTE 0 Position Location North Carolina, US Hiring Range $3,000 (1.5 credit hours course) $6,000 (3 credit hour course) Proposed Start Date Estimated duration of appointment 1 or more
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traditional paradigms by: ●Measuring attention and gaze in naturalistic, dynamic environments rather than simplified laboratory settings ●Developing scalable computer vision methods to track gaze and behavior
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, investigating how large language models (LLMs) approximate, extend, or diverge from human expertise across domains. The starting date is negotiable but should be no later than November 1, 2026. The position is
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
at the COMPETE2030-FEDER 00774800 Funds Desk, of the Institute for Systems and Computer Engineering of Coimbra (INESC Coimbra), BI Refª.UI0308/RADICAL.3/2026, with financial support from FEDER, under the following
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(CEIRR) and other agencies in order to strengthen reporting and specimen sharing between collaborators. -Attend calls, conferences that may introduce novel and/or streamlined data entry methods to increase
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considered first. Applications by students from other programs with appropriate prerequisites will be considered as space permits. Reference: https://artsci.calendar.utoronto.ca/course/csc490h1 Estimated
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use. What your work will be like You will focus on research and the development of computer vision and machine learning methods for ecological data analysis. The work includes image-based and multimodal
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to interdisciplinary research fields in areas as varied as human-computer interaction, decision-making, data science, social and environmental psychology, and perception. You have expertise in research methods