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This position involves the simulation, fabrication, and characterization of thin film barium titanate-on-dysprosium scandate optoelectronics devices. It involves calculation and design of
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NTU’s global reputation for excellence in robotics and AI. Key Responsibilities Design and implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms
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Applications are invited for a two-year, fixed-term Research Fellow position in the group of Professor Swadzba-Kwasny, funded through an EPSRC Materials Innovation Partnership project and delivered
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to two years of research experience in visual computing, deep learning, and/or brain-inspired circuit and system design, and must have no more than five years of post-qualification experience at the time
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experience in sensory neuroscience, neural circuits or neurodevelopmental disorders. Experience with animal models, electrophysiology, behavioural assays and genetic techniques. Proven ability to design
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innovative models to improve farm performance and decision-making Drive impactful research that shapes the future of Australian agriculture About CSIRO As Australia's national science agency, CSIRO is solving
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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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material intelligence can support a circular economy for space infrastructures. As a short-term feasibility study, we will design and populate a minimal, high quality database that links satellite components
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Job Description Job Alerts Link Apply now Research Fellow (Catalyst Scale Up) University-Level Unit: Centre for Hydrogen and Carbon Innovations Faculty/Department-Level Unit: Centre for Hydrogen and
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Job Description Job Alerts Link Apply now Research Fellow (spintronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Materials Science and Engineering