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-striatal structures and the motor cortex in effort-based decision-making, using a multimodal approach that combines computational modelling of decision behaviour, brain stimulation techniques and MRI
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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decision-making dynamics in future megaprojects. Base Salary Level A, Step 6-8 $113,400 - $121,054 p.a + 17% superannuation About the opportunity The School of Project Management at the University of Sydney
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Full time Two (2) Year fixed term opportunity. Located at the Forest Lodge Building on the Camperdown Campus AI-enabled decision-making dynamics in future megaprojects. Base Salary Level A, Step 6-8
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
of Animal Behavior, we are looking for a highly motivated Postdoc. The department offers a position for 2 years: Postdoctoral position (m/f/d) 100 % - “Decision-Making in Motion: From Neural Dynamics
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Full time Two (2) Year fixed term opportunity. Located at the Forest Lodge Building on the Camperdown Campus AI-enabled decision-making dynamics in future megaprojects. Base Salary Level A, Step 6-8
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: Catherine Hartley) at New York University seeks a Postdoctoral Associate to work on neuroimaging and behavioral studies examining learning, memory and decision-making across development. NYU offers
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. The successful applicant will be expected to design and implement analytical and interpretability frameworks to investigate the internal representations and decision-making processes of machine learning models
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—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under