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Field
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in Artificial Intelligence Computer Science Foreign completed degree (M.Sc.-level) corresponding to a
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clinical research, leveraging cutting-edge approaches in molecular biology, bioinformatics, biomarkers, and regenerative medicine. We are looking for a highly motivated postdoctoral fellow to join our
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technology for CO2 storage, capturing dissolution processes and convective mixing, validated against high-resolution complex meter-scale laboratory experiments in the FluidFlower . The project is an
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(Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics If you're already part of the Macquarie Group (MQ University
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our Advanced Research Concepts initiative . During the topic ideation process, Fellows work with program managers and other DARPA experts who serve as internal sounding boards. They engage closely with
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of microbiology, immunology, innate immunity, mammalian cell biology or microbe-host interactions Direct experience in applying basic laboratory techniques relating to the above disciplines Experience with
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality