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Field
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hands-on experience with advanced techniques, including patch clamp, optogenetics, fluorescence imaging, auditory brainstem response (ABR), stereotaxic surgery, RNA-seq, and computational modeling
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candidates] Design and develop prototype and testbed systems that will be deployed to community partners and stakeholders. All candidates will be expected to support the evaluation and assessment of deployed
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learning with a focus on medical imaging, and programming with one or more of the major deep learning packages (PyTorch, TensorFlow, Caffe, etc.) is desired. Application Process Please upload the following
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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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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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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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“Hydrogen storage for maritime and industrial sector.” The position is organized under the Department of Process, Energy, and Environmental Technology and reports to the Head of the Department. The Ph.D
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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods
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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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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