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: http://adminrecords.ucsd.edu/PPM/docs/230-311.html Department: https://oph.ucsd.edu/ Qualifications Basic qualifications (required at time of application) Candidates must have a PhD or MD/PhD in
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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Integration & Word LearningThis PhD project investigates how attention to multimodal signals contributes to word acquisition. You will analyse: word-learning trajectories across repeated exposures; the role
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models are accurate, safe, interpretable, clinically applicable, and ethically deployed. Job Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field. Good written and oral
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) Student enrolled in a PhD program in Intelligent System or in related areas; ii) Suitability of the candidate's training and experience to the objectives of the work to be developed Specific Requirements i
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candidate must be eligible to enrol in the doctoral programme at UNIVERSITY OF BARCELONA. Website for additional job details https://www.fre-sci.com/join-us Work Location(s) Number of offers available1Company
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The Faculty of Science AI Doctoral Training Centre (AI DTC ) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be hosted at IRCELYON (UMR 5256
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: ……………………………………………………………………….………..…………………..……… 1. Enrollment in a PhD program in the areas indicated above at the University of Madeira. 2. Preferred requirements: experience in data science and artificial intelligence; experience in research
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Traces (ALT) lab at the Department of Psychological and Quantitative Foundations has an open Postdoctoral Scholar position for an individual with expertise in computational and quantitative methods