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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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fluid or as individual particles; moreover, complex chemical reactions can occur between species in the plasma. Modelling a plasma is accordingly a very complex and challenging task. The objective
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to the broader scientific community through peer review, conference organization, and professional society involvement. Engage in outreach activities that promote the department's goals and objectives. Minimum
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areas if interested. 1. Statistical modeling of infectious disease transmission and burden led by Dr. White The objective of this project is to further methodology to better understand real (or near real
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of ABM accuracy (e.g., Gaussian process emulation, Bayesian calibration methods, etc.). B4. Knowledge of epidemiological, statistical and microsimulation methods, and their strengths and weaknesses
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to interact intelligently with unknown objects in dynamic environments. In a traditional closed system, a robot assumes that all objects in its environment are predefined and known, allowing for specific
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
(UTSC) invites applications for a full-time tenure stream position in the area of Statistical Sciences, with a focus on the theory of Bayesian statistics and uncertainty quantification. The appointment
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-dimensional data, survival and event history analysis, model selection and criticism, graphical modelling, non-parametric methods, machine learning, hierarchical Bayesian modelling, and time- and space
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, non-parametric methods, machine learning, hierarchical Bayesian modelling, and time- and space-modelling. The group emphasizes general methodological development, often motivated by real-world