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at the forefront of synthetic biology and AI, creating next-generation tools for DNA, protein, and genome engineering. We aim to unravel the logic of genome organisation and metabolic control - with the bold vision
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and innovative researcher with a strong foundation in wearable systems and are currently in the final stages of completing a PhD in Robotics or Control Systems Engineering. Your academic journey is
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to work collaboratively. They should have good communication and team-working skills, and a strong command of English. You will join a dynamic group of academics, postdocs and PhD students using in situ
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 1 month ago
for the controlled and targeted delivery on anti-inflammatory and anti-bacterial therapeutics upon injection of the hydrogel. The Research Fellow will have the opportunity to attend the project technical meetings
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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will hold a good honours degree (2:1 or above) or equivalent in a relevant subject, and will either have a PhD (or equivalent) in a related discipline such as, Chemistry, Chemical Engineering, Materials
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chemical synthesis for drug design and evaluation with skills combining some expertise and / or interest in the following areas: robotics, electronics design, control interfaces, automated chemical synthesis
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: • PhD (or nearing completion) in optics, photonics, physics, electrical engineering, or a related field. • A record of high-quality publications with evidence of contribution to the writing