376 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" PhD positions in United Kingdom
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-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR
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, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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to undertake a 4-year, enhanced stipend PhD studentship, within the Digital Metal CDT https://digitalmetal-cdt.ac.uk/ at the University of Nottingham. The Centre for Excellence in Coatings & Surface Eng
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for preparing meetings related to the expertise area * *To also be assessed via interview How to apply Candidates should submit applications via https://apply.kcl.ac.uk and select the History Research MPhil/PhD
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website for more details about our research: https://lewisgroup.org.uk How to apply For informal enquiries, email Jamie at j.e.m.lewis@bham.ac.uk including a copy of your CV. Please apply through
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electron laser facilities. Contact: For informal enquiries please contact Sam Hay (Sam.Hay@manchester.ac.uk ) or Mike Hough (michael.hough@diamond.ac.uk ). https://www.manchester.ac.uk/research/sam.hay https
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on the lab can be found at https://www.sysneurodevlab.org/ Eligibility & How to apply: Please submit a formal application using the online admissions portal (via the ‘Apply’ button above) attaching a CV
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project, please email Erika Mancini (e.mancini@sussex.ac.uk ) or John Spencer (j.spencer@sussex.ac.uk ) References: https://www.sussex.ac.uk/research/centres/sussex-drug-discovery-centre/ https
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights