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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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. The second position will be offered to a candidate with a desire to implement deep learning algorithms on clinical hardware (either developing new imaging hardware or implementing deep learning approaches
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Industry connected research with real on farm impact Appointment flexibility at Level A or Level B
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the discipline carry out administrative tasks and contribute to faculty or school meetings contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes
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satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been
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. This position is suited to an independent, research-focused academic with a strong publication record and demonstrated expertise in modern epidemiologic methods, advanced analytics and coding in R, and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
Classification: Academic Level B Salary package: $121,598 - $137,870 per annum plus 17% superannuation Terms: Full time, Fixed term (Until March 2028) Position Description and Selection Criteria
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for the role, as determined by the University. Enquiries: Dr Marcus Robinson, Senior Research Fellow, Monash University +61399030128 marcus.robinson@monash.edu Position Description: Postdoc Research Fellow
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
, image analytics, machine learning, transcriptomics, or molecular phenotyping. Experience in the biological or agricultural sciences. For more information about the position please contact Dr Emi Tanaka