41 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Nottingham
Sort by
Refine Your Search
-
Fully Funded PhD Studentship: Micromechanics of Grain-Interface Interactions (Soil-Structure Interaction) Background Are abrasive grains truly "indestructible"? Research in our leading experimental
-
approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host
-
PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
-
Fullyfunded PhD Studentship: Underground Pumped Hydraulic Storage Background One lesser considered challenge of the shift towards renewable energy is the need for reliable and robust energy storage
-
Nottingham Breast Cancer Centre PhD Studentship About the Project This is a fully-funded PhD studentship in the Nottingham Breast Cancer Research Centre at the University of Nottingham. Breast
-
). This studentship will include a placement at Astra Zeneca, Cambridge and is part of a broader Medical Research Council Programme grant focused to understand mucus regulation in severe asthma. The project will
-
including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
-
We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
-
start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
-
PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering