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. This is a 3.5-year PhD position based in the Structured Light Lab, within the Department of Physics and Astronomy at the University of Exeter (Streatham campus, Exeter). The Structured Light Lab is led by
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therapeutic interventions. DA is a key neuromodulator, a chemical messenger that regulates and fine-tunes the activity of neurons, playing a vital role in numerous physiological processes such as reward
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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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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can significantly enhance GNSS positioning. For example, PrNet learns to correct pseudoranges using features such as raw pseudoranges, signal-to-noise ratio, elevation and azimuth angles, and
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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retreat cannot be reversed even with rapid CO₂ drawdown. This PhD will identify early signals by the 2030–2050s, targeting specific Antarctic glacier systems that are vulnerable to early retreat (Needell et
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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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this goal, we will combine new datasets, a deeper process-understanding, sophisticated models and improved experimental design. As part of CLARiTy, this PhD will focus on modelling the impact of degradation
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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