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to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in 3D Deep Learning for Vision and Lidar position who has: a PhD (or near completion) in a relevant field background
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environment with a team of a dozen academics, several postdoctoral researchers, and around 20 PhD students. You will benefit from their collective expertise in physics, geomechanics, geotechnical engineering
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn more about the Snow Vision Accelerator: https
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research group. The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students
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through in silico, activity and structural screening. support, train and supervise junior members of the team, including undergraduate students and PhD candidate, working in biological chemistry disseminate
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the group. Learnings in perovskite photovoltaic is have also been actively applied to other optoelectronics, photonic devices, dosimeters, storages and electronic devices. Within the group, you will be given
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methodologies for neuroimaging data pre-processing and analysis; with a motivation to learn new techniques and keep up-to-date with best practices. Publication and Dissemination: Prepare research findings