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study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
employees. The Department has 235 students (184 graduate students and 51 undergraduate students). The Department of Biostatistics is housed in three different locations: administrative and faculty offices
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person with an interdisciplinary background and training. QUALIFICATIONS: REQUIRED: o Very strong statistical and analytical skills with a strong background in causal inference approaches (e.g
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inference in physics contexts. Essential criteria A Doctorate in a relevant field such as Astrophysics, statistics, or applied mathematics, with a background in astronomy Experience in both statistics and/or
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research projects by conducting data management and statistical analyses, and assisting with study development, assessments, and data collection. Develop conference presentations, posters, and other
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another’s emotional state is their facial expression. Although we appear to effortlessly attribute emotional states, such as those associated with the terms ‘sad’ or ‘happy’, to different facial expressions
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relevant field Proficiency in Python, and/or R statistical package. Proficiency in using LLM, model training, and Generative AI. Experience with supervised and unsupervised ML techniques Skill in collecting
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application! Work assignments The postdoc project will investigate how children of different age groups perceive and experience different types of interactive artificial intelligence (AI), such as chatbots and
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. Additionally, they will provide some guest lectures in supervisor’s courses as relevant. Help with proctoring and grading tests, exams, and assignments. Research projects are supported by three different USDA
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statistics. In our team, reciprocity, scientific rigor, and mutual respect are core values. We place particular emphasis on quality mentorship and professional development. Weekly meetings with Aline Muyle