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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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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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networks, and blockchain and distributed ledger technologies over key sectors such as government, finance, communications, transport and cross-sector technologies. About you We are looking for applicants
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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optimisation and machine learning code, understand transportation modelling approaches, read and digest literature on the topic and write academic papers. Essential requirements: PhD or equivalent qualification
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the experimental work on the project, be responsible for developing and validating novel testing protocols and to ensure quality, carry out experiments and research on their own, but they will be part of a larger
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degree in Mechanical, Aerospace, Automotive Engineering, Computer Science, Business Management or closely related discipline. Obtained, or be about to obtain, a relevant PhD in Mechanical, Aerospace
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will assist in identifying and applying for further funding to carry the work forward, working in collaboration with academics/researchers at the Cicely Saunders and across the ARC. The post-holder will
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related discipline. Obtained, or be about to obtain, a relevant PhD in Mechanical, Aerospace, Automotive Engineering, Computer Science, Business Management or closely related discipline. (Candidates about
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staff position within a Research Infrastructure? No Offer Description School/Department: School of Aerospace, Transport and Manufacturing Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work