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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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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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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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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...
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seeking a leading researcher to advance a program in Applied Clinical Data Science, Machine Learning and AI. This role offers the chance to lead high-impact projects, mentor emerging researchers, and
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Assistant Grants Officer (Awards) Job No.: 681290 Location: 211 Wellington Road, Mulgrave Employment Type: Part-time, fraction (0.6) Duration: Fixed-term appointment until the end of the academic year 2025 Remuneration: Pro-rata of $83,424 - $95,825 pa HEW Level 5 (plus 17% employer...
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Access Inclusion and Success team as a Student Support Officer in the Peer Mentoring program. The Student Support Officer provides a range of administrative and support services for Peer Mentoring programs
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computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine for a long time, and I am grateful to be able to enjoy
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Research Fellow in Neuropsychology Job No.: 683024 Location: Epworth Hospital Employment Type: Part-time, fraction (0.4) Duration: 12-month fixed-term appointment Remuneration: Pro-rata of $83,280 - $113,025 pa Level A (plus 17% employer superannuation) Contribute to leading brain injury...
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer