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Field
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, compliance with safety regulations. Job Requirements: PhD degree from a reputable university in chemical/environmental/material engineering Relevant research experience in membrane fabrication and process
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completed a PhD in engineering or computer science, or an equivalent foreign doctoral degree recognised as comparable to a Norwegian PhD. Competence in developing and applying machine learning methods Good
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collaborate with the Principal Investigator and research team. Job Requirements: PhD in Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline. Strong research
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Requirements: PhD in Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline. Demonstrated ability to conduct independent research and develop novel research methods
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) on VMS deposits in the Arabian Shield. The Arabian Shield hosts numerous Proterozoic volcanic massive sulfide (VMS) deposits, including several world-class Cu-Zn-Au-Ag ores. With the rapidly growing
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods in power grid simulations with HVDC and Wind Farms using PSCAD Undertake management
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system. Job Requirements: Possess a PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Solid background in
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, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in
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in the Department of Chemical and Biological Engineering as a Research Fellow (Level A) and play a critical role in an exciting ARC Centre of Excellence project. In this role, you’ll lead the
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. About you You will hold, or be close to completing, a PhD in an appropriate field (for example, advanced IC engine combustion or, ideally, in the field of decarbonised propulsion and the impact of oil