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We are seeking an enthusiastic and capable individual to join our team as a PhD researcher in developing instrumentation and simulations to monitor and track satellites. The successful candidate
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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
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would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
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(50%) – i.e., academic track record and previous academic achievements in relevant subject areas; any relevant professional/practitioner experience (particularly for applicants with non-standard
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involves feeding a metal filler wire, either coaxially or off-axis, into an electric arc to create a molten pool that solidifies on a substrate, enabling the layer-by-layer construction of 3D objects
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engage in immersive, simulated construction tasks, while wearable sensors monitor their physical effort, emotional states, and cognitive load. Physiological and behavioural data — including eye tracking
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, especially within the cancer domain. The goal is to identify causally relevant links between tissue morphology and molecular profiles, potentially leading to new biomarkers or therapeutic targets. Objectives
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The transition to net-zero aviation has emerged as a critical objective in the global effort to mitigate climate change, with the aviation sector currently accounting for approximately 2–3% of global CO₂ emissions
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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system development. Motivation The transition to net-zero aviation has emerged as a critical objective in the global effort to mitigate climate change, with the aviation sector currently accounting