480 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Naturalis" PhD positions in United Kingdom
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to submit a strong research proposal in areas including, but not limited to: Asset pricing and investment Empirical asset pricing and performance evaluation Investment technology, ethics and strategy Equity
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Project supervisor - Dr Tom Hargreaves Tackling climate change and meeting Net Zero targets will demand substantial changes to people’s everyday lives. Many different visions of Net Zero energy futures have been generated by governments, businesses and NGOs, but whilst all agree that substantial...
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6 - Understanding lifecycle medicines value Supervisors - Beth Woods and Jessica Ochalek Topic 7 - Exploring the value of in-silico trials in Health Technology Assessment and policy Supervisors
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or above or international equivalent) and/or Master’s degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written
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expected to have a first or upper second class level degree (or equivalent) in a relevant subject (e.g. sports science, kinesiology, biomechanics, engineering, physiology, human biology, psychology, zoology
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techniques (geomorphic mapping, TruPulse, DGPS/drone surveys), engineering geology methodologies (slope stability, rock strength assessment), coding (python/matlab data analysis and modelling) and transferable
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Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine
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Computational background: engineering, physics, maths, or computer science. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation
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, candidates will be expected to achieve/have achieved a First class honours MEng/MSci or higher degree (or international equivalent) in: Aeronautical/Mechanical Engineering or similar STEM subjects. You need
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: At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch