368 phd-rehabilitation-engineering-computer-science positions at University of Nottingham
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advanced electrical machines design, analysis, manufacturing, and testing. About You You should have a PhD or nearing completion of a PhD in Electrical or Mechanical Engineering or the equivalent in
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completion of a 1st Class Master's in Chemistry, Chemical Engineering, or a related field. A background in flow chemistry (and/or high-throughput experimentation), as well as proficiency in programming
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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qualified to deliver courses in the core curriculum of a Chemical and Environmental Engineering programme. The person appointed will also be expected to conduct ongoing original research for publication and
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INTERNAL VACANCY Please note that this vacancy is only open to employees currently working within the Faculty of Engineering at the University of Nottingham. An exciting opportunity has arisen
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chemistry/chemical engineering will be an advantage. The successful applicant would be expected to spend part of the PhD period based in Bristol at the Airbus site and will receive supervision support and
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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering
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global leader in engineering innovation and drive technology, we design and deliver high-performance systems for industrial, automotive, and renewable energy applications. We are now seeking a dynamic
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(both theoretical and applied), Microeconomics (applied micro, labor, health, industrial organization, financial economics) or Applied Econometrics (including causal inference, machine learning, program