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techniques include motor/behavioral tests of mice, in vivo compound administration, postmortem tissue harvesting and processing with a focus on the nervous system, cell tracing, immunohistochemistry, mouse
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image processing (e.g., in Matlab), and Fourier optics are desirable. Knowledge of visual optics is not required, though beneficial. The project is supported by federal funding. Rank and salary will be
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics Enquiries: Yuling Wang at yuling.wang@mq.edu.au Applications Close: Wednesday 9th of July at 11:59pm (AEST) Applicants must have valid work
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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
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culturing and genetic manipulation of microbiota, immune cells, organoids, imaging and new microscopy techniques is a plus A record of innovative scientific accomplishments as evidenced by one or more first
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, fabrication and characterization. The below key responsibilities may be adjusted according to the shortlisted candidates’ technical strengths: Device Design & Fabrication: Develop and prototype textile-based