43 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Nottingham
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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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
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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
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Fully Funded PhD Studentship: Micromechanics of Grain-Interface Interactions (Soil-Structure Interaction) Background Are abrasive grains truly "indestructible"? Research in our leading experimental
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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
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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
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). 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
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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
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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