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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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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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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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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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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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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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Statistics at the Open University to work with Dr. Elsen Tjhung on the EPSRC-funded project EP/W027194/1 In this project, the candidate may pursue one of two research directions. Growing active matter
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urgently needs decision-making systems that are scientifically robust, transparent about uncertainty, and responsive to ecological, ethical, and policy contexts. BioM will unite ecology, statistics, and
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Qualifications Ability to lead MS based projects with minimal oversight. Proficient in basic statistical methods and design of MSI / LC-MS experiments and techniques. 3+ years of relevant experience in a research