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concepts from nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning and AI as applied to organic synthesis. It is a large collaborative project involving researchers in the US
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4.5 months, Fixed Term, whole-time Post Applications are invited for the position of Post Doctoral Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning
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on conducting a comprehensive Health Technology Assessment (HTA), synthesising evidence on clinical effectiveness and safety, pharmacoeconomic and cost-effectiveness outcomes, budget impact, organisational and
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machine learning aspects of this AI-assisted semantic tagging and fuzzy logic search tool. The Postdoctoral Researcher on the project will work on a project related to an aspect of the hip-hop-specific
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Computer/Presentation skills Ability to make decisions and meet deadlines Ability to work on one’s own initiative as well as in a team environment Qualifications – (Essential): A PhD in neuroscience
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into dialogue with renewables development in an area, for instance through narratives that convey a sense of sociocultural continuity or economic security. In this way, ENACT can help give shape to engagements
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stakeholder engagement activities. Health & Safety: In addition to the statutory safety duties of all employees (as prescribed in safety legislation and the relevant local safety statement) each staff member is
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of handling (favouring liquids over gases) and safety (favouring carbonaceous fuels over ammonia in shipping) can play decisive roles. These factors are assessed using multi criteria decision analyses (MCDA