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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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people who discover them The Opportunity Lead a dynamic program of veterinary care, research animal skills training and scientific services at the Monash Animal Research Platform (MARP). At the centre of a
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Explore bold ideas with a team redefining addiction treatment through science The Opportunity Join a leading research team driving clinical innovation in neuroscience and psychedelics-based addiction
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fitness based services to the Monash Sport community, including but not limited to provision of core services to members, including taking a professional and innovative approach to individual program design
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fitness based services to the Monash Sport community, including but not limited to provision of core services to members, including taking a professional and innovative approach to individual program design
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and experience in front-line customer service are required for success in this role. The successful candidate will have strong communication skills, demonstrated computer literacy and the ability
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Assistant Lecturer/Demonstrator - Anatomy & Developmental Biology - Semester 2, 2025 opportunities at Monash University Job No.: 679493 Location: Clayton campus Employment Type: Part-time, fraction
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for opioid use disorder within clinical trials by the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research Group . This position implements the psychotherapy component of
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models...