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with Materion’s Technology & Innovation roadmap. Perform materials and component testing using Materion and Imperial facilities. Analyse data, evaluate results, and implement solutions to manufacturing
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techniques. Interpret complex analytical data and synthesize findings to contribute to research discussions and the preparation of technical reports for the Principal Investigator. Maintain accurate and
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- GBP 46,049 Fixed-term: The funds for this post are available until 31 December 2028 in the first instance. To apply online for this vacancy and to view further information about the role, please click
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also expected
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the deployment of immersive technologies in user experiences, simulation and engagement. Key Contact For further information and informal enquiries regarding the role, please contact Professor Chris Bussell, Pro
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
for this vacancy and to view further information about the role, please click the 'Apply' button above. Please ensure that you upload your Curriculum Vitae (CV; including a list of publications) and a supporting
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a