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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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perturbations. Person Specification PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Informal enquiries
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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the EDI Strategic Lead, the Director, and other individuals and partner organisations. They will continue to advance their research portfolio outside their RSS role. The post-holder will hold a PhD or have
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at the Institute of Genetics and Cancer. Informal enquiries may be directed to Dr Athina Spiliopoulou (A.Spiliopoulou@ed.ac.uk ). Your skills and attributes for success: PhD in machine learning, genetic epidemiology
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candidate will have a PhD degree, or equivalent qualifications relevant to atmospheric science. Experience in offline chemical analysis, mass spectroscopic and advanced data analysis in atmospheric science is
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Promote equality and diversity, acting as a role model and contributing to an inclusive culture Person Specification First degree and normally a higher degree (e.g., MSc, PhD or near to completion) in a