76 ability "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Manchester
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Institute for health technology research and innovation. For more information, please see below: https://www.se.manchester.ac.uk/cem/ https://www.meri.manchester.ac.uk/ https://www.tyndall.manchester.ac.uk
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We are seeking a motivated and collaborative Research Associate to develop a first-principles benchmark framework for analysing and optimising power quality and disturbance rejection on the more
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science or membranes with experimental work in chemistry, materials science or chemical engineering. A strong publication record in internationally peer-reviewed journals and an ability to write scientific
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testing of deuterium permeation experiments in support of the UKAEA’s LIBRTI project (https://ccfe.ukaea.uk/programmes/fusion-futures/librti/). This will include expanding capabilities on UoM’s Gas-Driven
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responsible capacity. Excellent organisational skills with the ability to manage and prioritise conflicting tasks in a busy environment and to manage competing deadlines. Desirable Criteria Experience
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including co-production/participatory approaches Experience of active engagement with community groups and stakeholders Ability to work as a member of a multidisciplinary team, across insitutions, and to
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architectures to tailor the function and properties. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/. The successful applicant should have, or be working towards a
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complex data sets Clear oral and written presentation skills, with the ability to communicate with both academic and policy audiences Desirable Criteria: PhD in Health Economics or Economics Evidence of
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. Track record of peer-reviewed publications. Ability to contribute to future funding applications and external communications. We value transferable skills and real-world experience as much as formal
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: Molecular modelling and simulation experience during PhD Ability to present complex information effectively to a range of audiences Experience of manipulating and visualizing large datasets We value