673 systems-science-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Monash University
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with a variety of Deep Learning frameworks, such as U-Net, ResNet, etc. One of the main challenges in medical image segmentation and classification is that the results must be explainable; hence
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Indonesian Women Impact Scholarship The Indonesian Women Impact Scholarship scheme (formerly Indonesian Women in STEM Scholarship) supports high-achieving female graduate researchers from Indonesia
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to research influencing healthcare policy and practice worldwide The Opportunity Monash University is seeking a Research Fellow to join theAustralian Living Evidence Collaboration (part of Cochrane Australia
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of Physics and Astronomy. This is a rare opportunity to establish and grow a world-class research program at the heart of Monash’s growing research in nanoscience and technology. We are especially keen to
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the brain, as well as the latest AI methods and examine what if any consciousness current AI methods might have and how we might define whether an AI is conscious based on what we know about consciousness in
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the scenes and the simplex algorithm is one of the top 10 most influential algorithms. Major success stories include rostering nurses in hospitals, managing chains of organ transplants, planning production
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message length (MML) (Wallace and Boulton, 1968; Wallace and Freeman, 1987; Wallace and Dowe, 1999a; Wallace, 2005). There are many cases in which over-fitting - with a model which is too complex - fails
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enrolled in the Bachelor of Biomedical Science (Scholar Program) Course. Applications No application required Total scholarship value Up to $9,000 Number offered Variable See details Bachelor of Biomedical
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Aurecon Indigenous Leaders Scholarship Industry Leaders Scholarship The Aurecon Indigenous Leaders Scholarship is introduced to support Aboriginal and Torres Strait Islander employment and education
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images