433 associate-professor-computer-"https:"-"https:"-"https:" positions at Monash University
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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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Expression of Interest - Teaching Associates (Practice Educators) in Occupational Therapy Job No.: 642070 Location: Peninsula campus Employment Type: Sessional Duration: Sessional for up to 12
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Duration: 3.5 years fixed-term appointment Supervisory Team: Professor Elizabeth Manias (Main Supervisor) The successful candidate will be supported by a multidisciplinary project team with expertise in
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program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
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Monash Leaders Scholarships Monash Leaders Scholarships are awarded to applicants that demonstrate leadership and commitment to give back to the community through the Access Monash Mentoring program
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or an associated double undergraduate degree offered by Monash Art Design and Architecture (MADA) at a Monash campus in Australia Bachelor of Architecture Bachelor of Design Bachelor of Fine Art Benefits $6000 per
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models