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Field
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to public data for good. • Prototype and evaluate reinforcement learning frameworks for simulating and optimising public health interventions under uncertainty. • Build AI pipelines for social network and
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and develop the corresponding biasing network.; • Fabricate and assemble a proof-of-concept prototype on a glass substrate.; • Experimentally characterize the electromagnetic performance
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Proficiency in CAD software (SolidWorks, Fusion 360, or equivalent) and rapid prototyping tools (3D printing, CNC) Strong foundation in mechanical design, prototype fabrication, and testing methodologies
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, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and
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aging and disease. The Research Fellow’s key responsibilities will include: Developing and utilizing computational approaches including machine learning models, image analysis pipelines, and
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insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics Pre-Employment Checks Macquarie University
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strategies. Candidates with prior experience in live cell imaging of intracellular free calcium, patch clamp electrophysiology, biochemical or cell biology analysis of pancreatic islets and the study of mouse
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on application expertise and interest; Generation and analysis of mass spectrometry based exposomics data; Analysis of multiomics data; Analysis of MRI-derived imaging data; Provides guidance and support to PhD
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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generate data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS, and CT-PET machines. Designs in vitro and in vivo (murine model) experiments. Record and