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Postdoctoral Research Associate to join the Research Group of Dr Adam Michalchuk, funded by the US Air Force Office of Scientific Research. The position will be to develop and use computational models to explore
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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computing devices, and cloud analytics pipelines. Implement AI-driven diagnostics and battery state estimation algorithms. Collaborate closely with industry stakeholders to co-develop next-generation battery
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activities within an established research programme and/or specific research project. Role Summary • Work within specified research grants and projects and contribute to writing bids • Operate within area of
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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. Desirable: D1. Evidence of participation in Audit / Research activities. D2. Evidence of a planned or proposed, programme of research. D3. Interest in and knowledge of the relevance of research. D4
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research