80 postdoctoral-image-processing-in-computer-science-"Prof" PhD positions at Curtin University in Australia
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undergraduate units in computer science or coding experience gained through Honours or Masters research work Local and international students are welcome Full-time onshore enrolment Application process Any future
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emission from the proposed process and the conventional methods will be conducted. This scholarship is funded by the Resources Technology and Critical Minerals Trailblazer (RTCM Trailblazer) . The RTCM
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brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
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the capacity to undertake significant research. At least the degree should demonstrate completion of food chemistry, processing, engineering or related units. Additionally, applicants with food industry
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equivalent). Students with previous research experience and publications in the fields of materials science, materials engineering, chemical engineering, electrochemistry, inorganic chemistry, process
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Prof. Abhijit Mukherjee (Curtin University) Student type Current Students Future Students Faculties and centres Faculty of Science & Engineering Engineering courses Course type Higher Degree by Research
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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transformation in the delivery of Australia’s Opioid Dependence Treatment Program (ODTP) is underway. Reforms commencing in the second half of 2023 will dramatically reduce the costs of treatment. In collaboration
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deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
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translation into practice, following evidence-based communication and media strategies. Student type Current Students Future Students Faculties and centres Faculty of Health Sciences Course type Higher Degree