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the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing modelling and optimisation approaches with
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project objectives, and disseminate results through publication in high-impact journals and conference proceedings Design and conduct welfare-focused behavioural studies of target aquaculture species
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continuous-flow bioelectrochemical systems, investigate and optimise key operating parameters affecting lithium recovery, and evaluate process performance and stability using heterogeneous real-world battery
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Participate and contribute to public engagement events Contribute
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healthcare partners, commissioners, policymakers, community and third-sector organisations, and colleagues across the Consortium to ensure that the research is relevant, rigorous and has impact. The role
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meaningful impact. Your key responsibilities will be to: Lead and contribute to high-quality original research in climate and environmental physiology, including experimental research, physiological assessment
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, oversee patient recruitment and safety, contribute to protocol development, and ensure high-quality research delivery. The postholder will be encouraged to pursue a higher degree (PhD/MD) as part of
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workflows Prepare manuscripts describing results for publication in high-impact journals Work collaboratively within an interdisciplinary team under the supervision of Principal Investigators and senior
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English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning
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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection