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control systems. You will work collaboratively with a multidisciplinary team to advance renewable energy technology through cutting-edge simulation, experimental validation, and system integration. We
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, electrical systems, or intelligent control systems. You will work collaboratively with a multidisciplinary team to advance renewable energy technology through cutting-edge simulation, experimental validation
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Health, Ageing in Health & Disease, and Medical Devices, Diagnostics and Prognostics. Research and Learning and Teaching innovation within the School is supported by a world class simulated hospital
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control systems. You will work collaboratively with a multidisciplinary team to advance renewable energy technology through cutting-edge simulation, experimental validation, and system integration. We
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Health, Ageing in Health & Disease, and Medical Devices, Diagnostics and Prognostics. Research and Learning and Teaching innovation within the School is supported by a world class simulated hospital
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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for distributed AI systems. Contribute to the design, integration, and validation of software modules across cloud, edge, and simulated environments. Undertake benchmarking, simulation, and performance testing
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interaction energy models, Kinetic Monte Carlo simulations for crystal growth, and advanced methods for calculating elastic and thermal properties of molecular crystals. The work will involve integrating and
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interpersonal skills. Commitment to staying current with discipline knowledge and UNSW values. To learn more about this position, and view the comprehensive skills and criteria list, a copy of the Position
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separate document addressing the skills and experience listed in the Position Description. A copy of the Position Description can be found on JOBS@UNSW . Job Location: LinkedIn displays the location