271 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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. This role involves working with proprietary, genetically engineered bacteria to produce high yields of polyhydroxybutyrate (PHB) from greenhouse gases. You will be responsible for bridging the gap between
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lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident to lead a
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commercial projects. This will involve the setup and operation of bespoke test stands for research and industrial support, which can include cryostats, fuel cells, thermal engines, electrical machines and
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(NPLQ) and in addition, our team of Professional Development experts will work with you to find the course, funding or programme you need to help you fulfil your potential. A team player, you will bring a
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About the role We are seeking a motivated and enthusiastic Registered Veterinary Nurse to join our team two days per week (Thursdays and Fridays). Working predominantly in a clinical environment, you will play a key part in teaching and assessing final-year veterinary undergraduates during their...
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. They will be responsible for the day to day leadership and management of the Capital Projects team and the successful planning and delivery of the Estates capital projects programme in support of wider
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. Summary This programme of research builds on our previous studies where we identified genes we believe mediate pain and inflammation in the joints of patients with osteoarthritis. The aim of the current
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fixed-term period. This key role will help deliver our comprehensive privacy enhancement programme as we modernise our privacy management framework in response to evolving legislative requirements
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of research and industry to pursue clinical translation of this new material. Candidates should hold (or be near completion of) a PhD in Biomaterial Science and Tissue Engineering, or a closely related field
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative