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individually, make a real difference. The role This role will play an essential part in a large research project growing trees in aeroponics. We are appointing a Glasshouse Assistant to support with the smooth
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. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
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the context of our commitments to the ATLAS Experiment at the CERN Large Hadron Collider. This will involve undertaking specified activities in the operation, performance-optimisation and exploitation
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relevant to the role, including broader sector/commercial awareness. Proven experience of managing and prioritizing large or multiple reasonable adjustment projects with efficiency, effectiveness, and strong
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reference to the applicable SOC code for this role, sponsorship will not be possible under the Skilled Worker Route. There is further information about this on the UK Visas and Immigration Website. We are
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transition, with an increasing need to deploy large-scale offshore wind turbines in harsh operational environments. As these systems grow in complexity and power rating, ensuring the reliability of generator
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to undertake the following duties: Helping prepare and clean up after large classes Setting up labs Helping with student fieldtrips, including driving minibuses and assisting staff and students during the field
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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open to people. We ask questions and we challenge ideas. We believe in our subject and in its potential. Our degree programmes recognise the ever-increasing importance of computer systems in fields
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including designing and conducting experiments, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data