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Job description:Title: DC12, PhD fellowship in applied mathematics - Optimal Transportation to improve databases integration.Researcher profile: Doctoral candidate.Research field: applied mathematics
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MSc programmes and PhD students in the shipping group. This post is available from 01.06.2024 and is funded for 12 months in the first instance, further funding to support the post may be available. A
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publication (Science 2024) on new routes to superionic lithium transport, using the full range of modern digital tools to accelerate their experimental discovery work. Expertise in the discovery of new
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning
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successful candidate will be self-motivated with an outstanding track record in computer science, machine learning (in particular, reinforcement learning), or transportation and related disciplines. The main
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focuses on error bounding and interference mitigation for high-integrity, resilient positioning navigation and timing (PNT) in safety-critical multi-modal transportation applications. For more information
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will carry out experiments on the deposition of novel photovoltaic absorber materials, and the fabrication and testing of perovskite solar cells. The role is expected to require synthesis of precursor
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London. The project aims to address fundamental challenges in utilising renewable fuels in difficult-to-decarbonise transport sectors such as shipping, road freight and aviation. The post holder will carry
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- the possibility of further academic qualification (e.g. through a monograph, habilitation or similar) Requirements: - completed BA and MA degree in political sciences and a completed PhD in political science (with
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will carry out experiments on the deposition of novel photovoltaic absorber materials, and the fabrication and testing of perovskite solar cells. The role is expected to require synthesis of precursor