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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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bank transfer. Eligibility criteria Candidates must be enrolled in a PhD degree/programme in electrical and computer engineering, informatics and telecommunications engineering, or equivalent
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin
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outcomes of therapy. The lab is looking for candidates for the following two stipends: • Stipend 1: Computer Vision-Based Analysis of Humans. This PhD candidate will focus on developing new AI/computer
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of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297312/phd-candidate-in-mathemat… Requirements Research FieldMathematicsEducation LevelMaster
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of high‑tech system design—such as the design of lithography machines—can already be automated, current design‑automation tools remain limited to specific domains or subsystems. Given the growing complexity
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applied statistics / data science courses such as Probability and Statistics for Computer Science, Basics of Statistical Computing, Probability and Statistics for Electrical & Computer Engineering
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wind, waves, currents, and seismic activities interact with corrosive conditions, accelerating degradation and elevating catastrophic failure risks. Current assessment methods rely heavily on sparse
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Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering