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Skip to main content Postdoctoral Researcher in Human-Computer Interaction Job id: 158027. Salary: £51,174 per annum, including London Weighting Allowance. Posted: 16 September 2026. Closing date: 07
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doctorate in a relevant discipline and demonstrate strong programming skills and research expertise in artificial intelligence, machine learning or related areas. Faculty of Science & Engineering Department
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong...
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subject area, such as theoretical physics, computational physics, quantum information, quantum computing, applied mathematics, computer science or a closely related discipline. Candidates who have
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effects on electoral processes and accountability • Public opinion formation in information-rich environments Qualifications: • Ph.D. in Political Science, Communication, Computer Science
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, behaviour change, implementation science, and health services innovation. Faculty of Science & Engineering Department of Computer Science & Information Systems Contract Type: Specific Purpose Salary Scale
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He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the quality of human
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Discipline Computer Science , Engineering & Technology , Electrical & Electronic Engineering Job Type Academic Posts , Postdocs Contract Type Fixed Term Hours Full Time Apply on website Save job Click to add
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-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas