409 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" PhD positions in United Kingdom
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Field
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation
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with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Prof. David MacManus Email: d.g.macmanus@cranfield.ac.uk Phone: +44 1234 754735 If you are
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, schedule experiments, collect and analyse data, present findings and oversee day-to-day running to project. Adherence to Good clinical and research practice guidelines will be required. The successful
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investigation) and basic quantitative methods (e.g., monitoring) Ability to collaborate and engage to different stakeholders Strong analytical skills and ability to handle data confidently Funding support After a
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, please complete the steps below. PDF versions are available here to help with planning but submissions must be made using the forms above, emailed PDFs will not be accepted. Information Session There will
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) Payment technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance. To discuss the
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the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a mandatory field) - upload a document or
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motivated candidate with a 1st or high 2:1 degree in mechanical engineering, materials science, or a related field. Interest in advanced manufacturing and sustainability is essential. Experimental and data
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-balancing under stress) and Autonomous Transportation (modeling traffic systems during cyberattacks). This includes creating an Adversarial Scenario Library to curate edge cases like data poisoning and
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Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex