We have 27 ai_cdt_decisionmaking PhD Projects, Programmes & Scholarships

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ai_cdt_decisionmaking PhD Projects, Programmes & Scholarships

We have 27 ai_cdt_decisionmaking PhD Projects, Programmes & Scholarships

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Neural-dynamical models for infectious diseases monitoring and prediction

AI_CDT_DecisionMaking. Details. Infectious diseases place huge pressure on health services and society. Governments and public health agencies increasingly rely on dynamical models to produce evidence for public health decision-making through. Read more
 Supervisors: Dr KF Flouris, Dr D DeAngelis, Dr MA Alvarez
 4 December 2026  PhD Research Project  Competition Funded PhD Project (UK Students Only)
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Learning and evaluating feature acquisition policies for clinical prediction

AI_CDT_DecisionMaking. Details. Healthcare tests carry financial, time and patient costs. Active feature acquisition (AFA) treats prediction as a sequential process, acquiring information only when its expected value justifies the cost. Read more
 Supervisors: Dr M Sperrin, Dr JH Hartford
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Developing and validating multi-outcome transformer models for clinical prediction

AI_CDT_DecisionMaking. Details. Clinical prediction models help clinicians estimate risk and guide decisions about prevention, investigation and treatment. Read more
 Supervisors: Dr DJ Jenkins, Prof GN Nenadic, Dr G P Martin, Dr M Jani
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Uncertainty-aware structure-to-specificity modelling for generalizing transcription factor binding predictions from sparse mutational data

AI_CDT_DecisionMaking. Details. Precise control of transcription is essential for engineering biological systems. TetR-family repressors are widely used in genetic circuits, but developing variants with new DNA-binding specificity remains largely empirical, requiring extensive testing. Read more
 Supervisors: Dr M Lagator, Prof M Rattray, Prof S Lovell
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Interpretable and Calibrated Uncertainty in Geometry Generative Models

AI_CDT_DecisionMaking. Details. Challenge. Conditional generative models can create virtual anatomical populations from imaging data, but their uncertainty remains poorly understood. Read more
 Supervisors: Dr AZ Zakeri, Prof AF Frangi, Dr SM Coveney
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Physics-Informed State Estimation and Safe Adaptive Control of Thermal Management Systems

AI_CDT_DecisionMaking. Details. Thermal management systems are essential to the performance, efficiency and reliability of fuel cells, batteries, power electronics and industrial energy systems. Read more
 Supervisors: Prof R Allmendinger, Dr M Sun
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Meta-Bayesian Optimisation for Cell Culture Media Development

AI_CDT_DecisionMaking. Details. Cell culture media are a major cost and performance factor in biologics, cell therapy and precision fermentation. Read more
 Supervisors: Prof R Allmendinger, Dr T Chugh, Dr MA Alvarez
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Bayesian-Evolutionary Discovery of Functional Regimes in Adaptive Matter

AI_CDT_DecisionMaking. Details. Future intelligent materials may be engineered through interaction rules, physical structures and environmental couplings that produce desired emergent functions, including distributed sensing, coordinated transport, self-healing and adaptive reconfiguration. Read more
 Supervisors: Prof R Allmendinger, Dr MA Alvarez
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Probabilistic AI for Trustworthy Decision-Making from Heterogeneous Socio-Ecological Evidence

AI_CDT_DecisionMaking. How should AI support decisions based on incomplete, unreliable, partly unobservable or unfamiliar evidence?. Read more
 Supervisors: Dr S Sampaio, Dr AK Krishnan
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Bayesian automatic decision-making loops in cancer research and treatment

AI_CDT_DecisionMaking. Details. Recent breakthroughs in Bayesian automatic experimental design have made it possible to automate selection of next measurement action in scientific experimental design loops. Read more
 Supervisor: Prof S Kaski
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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When should AI decide? Foundation models for complex scientific systems

AI_CDT_DecisionMaking. Details. Future scientific facilities will produce more data than humans can inspect, requiring AI to identify important data and when expert intervention is needed. Read more
 Supervisors: Dr JE Evans, Prof LW Whitehead
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Seeing the Forest from the Trees: AI and Variational Methods for Forest Biomass Monitoring

AI_CDT_DecisionMaking. Details. Earth Observation (EO) is vital for monitoring biomass, forest health, wildfire risk, illegal logging, and the impacts of climate change. Read more
 Supervisors: Dr F M Watson, Dr JL Latz
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Accelerating Chemical Process Development via Uncertainty-Aware Modelling and Experimental Design

AI_CDT_DecisionMaking. Details. Chemical processes are essential to medicines, materials and clean energy but are complex and difficult to scale. Read more
 Supervisors: Dr T Waite, Prof S Kaski
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Multimodal Virtual Patients for In-Silico Decision Making

AI_CDT_DecisionMaking. Details. In-silico trials rely on virtual patient populations that represent clinically meaningful variation. Read more
 Supervisors: Dr XY Yang, Dr O Rivasplata, Prof AF Frangi
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Machine Learning for Understanding and Predicting Stochastic Algorithm Performance in Combinatorial Optimisation

AI_CDT_DecisionMaking. Details. Combinatorial optimisation problems arise widely in logistics, transport and manufacturing. As many cannot be solved optimally within reasonable time, heuristics are used. Read more
 Supervisors: Dr AK Kheiri, Dr NP Pavlidis
 4 December 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)