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ideas. To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning algorithm for photovoltaic applications and utilising them for the investigation
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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Research Associate in Metallomics and Chemical Biology with the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in
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the primary responsibility of performing metallomics studies including the preparation of responsive fluorescent sensors for application in biological studies. This project is funded by a grant from the Human
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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of such use cases and applications compiling algorithms for use on early-generation hardware. We also encourage applicants interested in other quantum technologies such as quantum sensors and simulators, and
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in fluorescent GPCR sensors have strong expertise and experience in amygdala and/or orbitofrontal cortex physiology have strong expertise and experience in endogenous neuromodulator pharmacology have
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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of system enclosures, fixtures, jigs, and mechatronic assemblies using CAD software. Integrate sensor systems and build data acquisition and control platforms using open-source or commercial toolchains