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Field
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methods, Bayesian statistics, and/or an interest in applied empirical problems. We are particularly interested in candidates with expertise in applications of artificial intelligence in marketing
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of current issues and future directions within the field of Active Inference, control theory or Bayesian inference. B7 Experience with building computational models of human users in an interaction setting. B8
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and any students who may be assisting with the research. Deal with problems that may affect the achievement of research objectives and deadlines. Promote equality and values diversity acting as a role
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their academic and career goals while advancing the University’s strategic plan objectives. CSUF strives to retain all faculty by providing resources to build meaningful connections and community within and across
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activities and course delivery materials to support course objectives, advise students, work collaboratively to identify instructors, and perform service to the unit, university, and profession
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modern clinical trial design, such as Bayesian Adaptive Clinical trial design or established expertise in statistical methods such as structural equation modeling, causal data analysis. Experience in
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- which may also include Bayesian statistics, machine learning, applied statistics and epidemiology - as demonstrated through publications, citations, external invitations and research funding. You will be
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, Bayesian statistics, risk prediction, geospatial analyses, or machine learning. The faculty will be a critical force for planning, funding, promoting, and executing programs for the Department and Institute
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modern clinical trial design, such as Bayesian Adaptive Clinical trial design or established expertise in statistical methods such as structural equation modeling, causal data analysis. Experience in
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using Bayesian approaches vector biology, ecology and control life-history trade-offs and the sustainable control of malaria vaccine development quantitative approaches to vaccine selection host-parasite