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-driven ML methods. Applicants should have, or expect to achieve, at least a first honours degree or a master’s with distinction (or international equivalent) in a relevant science or engineering related
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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industry projects that emissions reductions will be achieved through a combination of low-carbon alternative fuels and the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) scheme
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