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decision processes. Use the CARLA simulation platform to generate DCD-style data in high-risk or ambiguous driving scenarios. Build a proof-of-concept verification pipeline that maps DCD outputs
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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2026; 6pm (UK) Further information Interviews will take place online in February. If you have not heard from us by 28 February 2026 – thank you for your application but on this occasion you have not been
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written
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available. LISS DTP trains future research leaders to tackle global challenges through interdisciplinary collaboration, data-driven approaches, and impactful research. We welcome applications in any
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next
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) sensor data. This will be a small system-on-chip designed to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated
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LCA. Strong data analysis, problem-solving, and teamwork skills. Commitment to sustainability and research integrity. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 years Application
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consequence of the disease. Model results will be validated with experimental test data. This project will harness new software capabilities to better understand bone mechanics, providing insight into the cause