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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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. About the project/work tasks: The position is affiliated with the research group for Energy and Process Safety (EPT) and is funded by the Faculty of Science and Technology as part of the in-kind from
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described above To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information. Contact Information Contact:Lori S Posey - lori
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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staff representing women, BAME, LGBTQIA+ or disabilities communities. This will be separate to the assessment process and will play no role in the decision to appoint. Informal enquiries may be addressed
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to a member of staff representing women, racially-minoritized, LGBTQIA+ or disabilities communities. This will be separate to the assessment process and will play no role in the decision to appoint
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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the environmental performance of established and emerging processes. This role includes designing and conducting cradle-to-gate and cradle-to-grave LCAs, building life cycle inventory (LCI) datasets, and integrating
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biosecurity, and the global impacts of invasions on global forest ecosystem processes. We encourage applications from candidates of all backgrounds, including underrepresented groups, and do not discriminate
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position, please see the Position Description hyperlinked below or contact Distinguished Professor Irene Yarovsky via email irene.yarovsky@rmit.edu.au For further information regarding recruitment processes