688 postdoctoral-image-processing-in-computer-science positions at Monash University in Australia
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overall project goals. Training and supervision will be provided to ensure adherence to protocols and to support skill development in delivering high-quality coaching services. We are seeking someone with a
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components critical for the operation of compute, storage, and virtualisation environments Manage and plan the complex architectural design, deployment, and ongoing management of storage capacity, performance
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Medicine, Nursing and Health Sciences Equity Travel Grant This scholarship is available to one student enrolled in the Bachelor of Medicine and Bachelor of Surgery (MBBS) and one student enrolled in
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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Services (MRS) are currently looking for an enthusiastic Information and Services Officer to provide a range of professional and high-quality administrative services to support the effective operation at MRS
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is accountable for driving positive and sustainable change in people, process and technology, across all of Monash University and its controlled entities also known as the Monash Group. To be
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Pharmacy and Pharmaceutical Sciences Relocation Grant Monash Accommodation Scholarship A grant for the highest-achieving Year 12 interstate students enrolling in the Bachelor of Pharmacy or
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program – it’s an opportunity to reinvent how students connect, engage, and succeed at University. What You’ll Be Doing: Own the transformation. Lead the business analysis activities in a cross-functional
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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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