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and manufacturing, flight mechanics and dynamics, propulsion, and/or aerospace numerical methods including machine learning, in a university of similar standing to the University of Sydney
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, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on
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engineering, aerospace design and manufacturing, flight mechanics and dynamics, propulsion, and/or aerospace numerical methods including machine learning, in a university of similar standing to the University
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Industry Innovation Program Scholarship The Embedded Co-Op Scholarship funded by an Industry Partner via the corresponding Faculty be introduced to allow industry and students to directly interact
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numerical methods including machine learning, in a university of similar standing to the University of Sydney. The successful candidate must have a proven ability to manage units of study with large to very
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project management skills, and the ability to prioritise work, work to deadlines and undertake multiple parallel projects Demonstrated ability to identify, assess, test and evaluate technical applications
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numerical methods including machine learning, in a university of similar standing to the University of Sydney. The successful candidate must have a proven ability to manage units of study with large to very
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Prof. Robert McLaughlin Chair of Biophotonics, School
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embraced. How to Apply An executive search is being undertaken by Perrett Laver in parallel with the public advertisement of the position. For further information and initial enquiries please contact Claudia
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or professional qualification with relevant technical experience (>5 years) Demonstrate experience in computer numerically controlled subtractive programming, simulation and operation and other manufacturing