128 parallel-and-distributed-computing-phd positions at University of Adelaide in Australia
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candidate will bring their skill, creativity and experience in developing and delivering education materials for the Speech Pathology Program and will play a pivotal role in teaching and research/scholarship
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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
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the forefront of cancer systems biology, uniquely combining computational and predictive modelling with experimental approaches to tackle major challenges in cancer treatment. Our innovative research spans from
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contribution of 17% superannuation applies. Fixed-term, full-time position available for 2 years. We are seeking an ARC Grant Funded Researcher to focus on the computation of carbon based materials for clean
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. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
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Computer Science, Electrical Engineering, or a related field. A PhD is highly desirable; candidates with a master’s or bachelor’s degree must demonstrate equivalent research or industry experience. Strong
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under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related discipline, who is
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which to work. To be successful you will need: A PhD in Human Geography Experience in the conduct of scholarly, applied and industry collaborative research projects and consultancies. Significant teaching
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(including British) History. Eligibility: Applicants must be Australian citizens, permanent residents of Australia or international students who are acceptable as candidates for a PhD/MPhil degree at
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, alumina and cement industries, to decarbonise heavy industry. This HDR Industry PhD Scholarship supports a full-time PhD student who is undertaking research in Earth Sciences. Eligibility: Applicants must