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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project covers the aspects of sensing, detection and classification in radar-based perception. Key
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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a
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. Hands-on experience in fermentation, microbial cultivation, and analytical techniques (HPLC/GC). Familiarity with bioprocess modelling and simulation tools (e.g., Aspen Plus, MATLAB, or Python), TEA, and
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requirements: Excellent analytical skills Strong verbal and written communication skills Desirable: Strong proficiency in optimising and modelling power and energy systems Programming skills in Python and Julia
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) in an experimental model of multiple sclerosis (MS). This project builds on recent findings from the phase III Hercules trial (Fox et al., NEJM 2025) showing therapeutic effects of BTK inhibition in
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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of research include integrating AI-enhanced weather forecasts with crop models, exploring tools to guide land allocation and nitrogen management, or developing dashboards that fuse multiple data streams