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with any of the major deep learning libraries, including Pytorch We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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of the major deep learning libraries, including Pytorch We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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Investigators from the Powerhouse Museum. Additionally, you will engage in high-impact research using deep neural networks, behavioural and neuroimaging experiments, and contribute to scholarly publications and
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able to apply their deep scientific knowledge to solve complex real-world problems, and work with stakeholders to understand their needs and adjust and communicate their approach accordingly to meet any
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, leveraging advanced learning analytics, machine learning, and deep learning techniques. The candidate shall work under the supervision of the Principal Investigator (PI) and Co-PIs to conduct academic research
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in a high-performance computing cluster environment, and
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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written communication skills in English for research work Preferred Requirements: Experience with deep learning and reinforcement learning algorithms in robotic decision. Familiar with UAV kinematics and