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Field
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/Qualifications Experience in: - Development of artificial intelligent algorithms. - Explanaible artificial intelligence - LLM experience - Virtual intelligence entities using reinforced learning
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on Agentic Artificial Intelligence—the next
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Intelligence-Driven Design of Ternary Alloy Electrodeposits: Deciphering the Interplay Between Plating Mechanisms, Process Parameters, and Coating Properties A PhD position is available in the Department
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-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a PhD candidate in artificial intelligence and data analytics to analyse vehicle telemetry data
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neurodevelopmental conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell
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positions for doctoral researchers in the field of reliable artificial intelligence. The background applicants come from can be very diverse. To earn the relAI certificate, PhDs need to earn credits in
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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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