54 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Cranfield University
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fees. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including
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process as a technology that co-produces low-carbon hydrogen and quality-differentiated solid carbon. The novelty is conceptual and empirical: it embeds engineering yields and grade formation into a
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families . Find
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of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity
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the general programme of work that is conducted in the Centre. Overall, the icing test facilities and industrial relationships are unique within the UK and offer a fantastic opportunity for research and
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/physics/biology) or engineering. The ideal candidate should have some understanding in the areas of Materials Science, Chemistry, Physics, Metallurgy, or Mechanical Engineering. The candidate should be self
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
of toilet technologies. Students will investigate how to optimize designs for manufacturability while maintaining performance requirements, reduce production costs through process optimization, and create
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Computing, particularly in relation to AWS[RM1] About you We are seeking people to join the team who are as passionate as we are about AI skills in the digital era and who believe, as we do, that we need a
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing