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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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assessment, and statistical and mathematical modeling. We are a vibrant, diverse team, encompassing mathematical modelers, epidemiologists, and field virologists. We value individuals that place a high
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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
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
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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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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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). 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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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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. 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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opportunity to be part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (https://go.ur.de/baimo ), which investigates the effects of climate change on insect populations as part of