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Global biodiversity targets are repeatedly not met despite increasing conservation efforts. While in some cases this is due to inappropriate interventions or external pressures, in other cases, this is due to time lags in species’ responses to conservation efforts. Ecological time lags occur...
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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on Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate. The position is only
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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an opportunity to learn medicinal chemistry/chemical biology, biochemistry, and cellular biology, using facilities across the School of Chemistry, Pharmacy & Pharmacology and Norwich Research Park. You
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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King’s Business School Doctoral Research Studentships King's Business School invites applications for funded, full-time PhD studentships Economic Studies , to start in October 2026. We welcome
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develop methodologies (such as acoustic emission method) detecting early signs of damage, leaks, or degradation before they become critical. We will also leverage the latest developments in machine learning
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Application Deadline: Applications accepted all year round How to apply: https://uom.link/pgr-apply-2526 UK Only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and