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. This PhD will suit candidates with backgrounds in psychology, cognitive science, linguistics, or data science, with experience coding in R or Python, natural language processing, and experimental design
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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Rationale: Flooding – the most wide-spread natural hazard – affects every country and region of the world. Flood risk is expected to increase due to climate change, as evidenced by recent recurring
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Professor Akane Kawamura Akane.Kawamura@newcastle.ac.uk For more information on the School of Natural and Environmental Sciences, please click here . To apply, please complete the online application and
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Psychology and Clinical Language Sciences (PCLS) and Food and Nutritional Sciences (FNS). Eligibility: Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree or equivalent in Psychology
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Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models for more
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(bbs24@cam.ac.uk ) for queries of a technical nature related to the role or csic-admin@eng.cam.ac.uk for queries related to the application process. Please quote reference NM45544 on your application and
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contact Dr Brian Sheil (bbs24@cam.ac.uk ) for queries of a technical nature related to the role or csic-admin@eng.cam.ac.uk for queries related to the application process. Please quote reference NM45544
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area. Significant experience in graphic software development and highly proficient in computer programming languages for XR development. Proven ability to translate and implement specialised innovative ideas
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also exploit machine-learning techniques to train more approximate simulation methods with highly accurate reference DFT results. This will allow simulation of system sizes that are difficult to treat