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performance optimization. Superior communication skills to liaise with business and technical stakeholders Strong numeracy, analytical, and problem-solving abilities with the capability to identify challenges
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The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is
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-first mindset. Drive system health monitoring and proactive incident response. Collaborate with stakeholders across the university and with external vendors. Create and optimize workflows, scripts, and
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staffing and program delivery to ensure optimal utilisation that meets the needs of the business, and provide recommendations as required Foster a customer-centric culture that prioritises engagement
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responsibility of crafting, reviewing, and negotiating research-related agreements and intellectual property arrangements to ensure optimal outcomes. Your expertise will be key in mitigating contractual risks and
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that is a result of optimal planning with respect to an incorrectly learned neuro-symbolic (neural network) model. In this project, the following two fundamental research questions that are in the core
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the upcoming exam period in June-July 2025. You will play a key role in ensuring students have the opportunity to sit examinations under optimal conditions according to University assessment and examination
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managing digital vendors. Regularly audit Future Student web pages and develop hypotheses to tests and iterate designs to optimize the future student experience. Partner with the Digital Solutions team
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design, fabrication, and optimization. Experience working under a Quality Management System (QMS), including familiarity with ISO 13485 and 9001 standards. Foundational knowledge in histological techniques
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at all levels and an effective communication style. A sound knowledge of internet search engines, databases and how to optimize searches Good attitude and ability to work independently, as well as part of