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economics, simulation or systems modelling, data science on health or work. Essential Application & Interview Experience in use of data & evidence to populate parameterise a model e.g. by undertaking
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. Job description We are looking for a PhD candidate to work in the project “Robots as Welfare Technologies and Actors for ELderly Care: A Nordic Model for Integration of Advanced Assistive Technologies
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). The main aim of this PhD project is to develop mathematical models relevant for processes at the anode of aluminium electrolysis cells, with emphasis on evolution of bubbles, including the so-called “anode
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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years at the discretion of the faculty director. More information about the existing team and projects can be found here: https://budgetmodel.wharton.upenn.edu/ Job Description DUTIES: Build models
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process). The PhD project is affiliated to the National Research Center for Zero Emissions Metal Production (FME ZeMe). The main aim of this PhD project is to develop mathematical models relevant
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, probabilistic graphical models, physics/dynamical systems. Qualifications: The candidate is expected to hold (or be about to complete) a relevant PhD degree in Computer Science, Artificial Intelligence or another
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, clustering, latent-state models, and unsupervised learning to identify high-order structure in neural and molecular data. • Conduct statistical modeling of temporal trajectories and population dynamics across
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teaching. For more information about the department visit https://www.umb.edu/science-mathematics/academic-departments/mathematics/ Application instructions: To apply, the candidate must submit a cover
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$85,555 - $116,094 p.a. (*PhD entry level $108,156 p.a.) plus 17% super Pioneer research in modelling heterogeneous populations through collaboration with leading institutions to advance mathematical