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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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of The University of Glasgow Inference Dynamics and interaction Research group, in the School of Computing Science, including establishing and sustaining a track record of independent and joint publications
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The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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into and in work, and relevant secondary data, and help produce case studies of supported employment initiatives in the four HDRC areas. You will also work to develop a programme theory and with the research
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communication and interpersonal skills. • Open to fixed term contract More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer
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models for children. College / Directorate College of Engineering, Design & Physical Sciences Department Department of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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, Taiwan [map ] Subject Areas: Physical Chemistry / Reaction Dynamics , Theoretical and Computational Chemistry Atmospheric Chemistry / atmospheric photochemistry Physics / Chemical Physics Appl Deadline
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Job description: We are currently advertising for a Research Associate/Research Fellow in Causal Inference & Health Technology Assessment (HTA) to join the Health Economic and Decision Science (HEDS