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instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine
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has the suitable resources and expertise to take you on as a graduate research student, you will be supplied with an Invitation to Apply. All applicants are required to upload a copy of their invitation
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you on as a graduate research student, you will be supplied with an Invitation to Apply. All applicants are required to upload a copy of their invitation to apply with their formal application
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to undertake a PhD (maximum one page) A CV including qualifications, academic achievements, list of publications, work history and references A copy of your academic transcript(s) Enquiries: For further
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and OptiGrid Pty Ltd invite applications for a project under this program, exploring the application of reinforcement learning for modelling market participant behaviour to improve electricity price
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to peer-reviewed academic publications Qualifications Completed undergraduate degree in physics, computer science, machine learning, computational modelling, or similar. About Swinburne University
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on Country by exploring best-practice models of social and cultural engagement, advocacy, agency and justice. For More Information, read the TRaCE flyer . Watch our TRaCE First Nations HDR Scholarship webinar
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or Permanent Resident. Australian Citizen or Permanent Resident. Please send your latest CV and full transcript of bachelor and master degrees (if applicable) along with a copy of any papers you may have
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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, nominate Dr Andrew Stephens as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship This PhD project