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Applications should include: Curriculum Vitae with at least 2 references (contact details only) Cover letter Early application is highly encouraged, as the applications will be processed upon
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devices. The project will involve significant collaboration, sample exchange, semiconductor and device characterisation. For more information on the position please contact Prof. Phil Dale or Prof. Alex
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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Benefits website for more information regarding benefit eligibility. Student workers are eligible to participate in the Student Health Benefit Plan, if they maintain 6 or more eligible course credits
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Benefits website for more information regarding benefit eligibility. Student workers are eligible to participate in the Student Health Benefit Plan, if they maintain 6 or more eligible course credits
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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. plus on-costs (such as relocation and Overseas Student Health Cover). The award shall be subject to the same terms and conditions as the University of Adelaide Research Scholarship. An additional $15,000
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to teaching activities (1-2 course hours per week or equivalent through student supervision) For further information please contact Prof. Frank Scholzen ( ) Your profile A Master's degree in Engineering (Energy
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these findings should be used to design AI agents that actually warrant our trust. You can find more information about our work and approach at the Project Website: https://research.kent.ac.uk/trust-moral-machines