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or joint research, with assistance of a mentor if required. Applying knowledge in a way which develops new intellectual understanding, for example generative AI, and deep learning-based methods. About You
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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, algorithmic, AI and communication skills. Proven track records of working in rapid R&D environment with wealth of experience in path planning for robotic arms, reinforcement deep learning and AI. Good
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Responsibilities: To conduct independent research in deep reinforcement learning and large language models. To produce publications in top conferences and journals. To offer guidance and assistance to any students
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
drone applications. We're a close-knit and ambitious team with deep technical expertise and a strong sense of purpose. We're hands-on, mission-oriented, and believe in building systems that matter - from
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, cooperative swarms, next-generation high-performance design, AI flight safety, and drone applications. We’re a close-knit and ambitious team with deep technical expertise and a strong sense of purpose. We’re
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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, computer science, AI/ML, medicine, statistical genetics, psychology, molecular genetics, or a related field. Demonstrated expertise in machine learning, deep learning, or advanced statistical analysis applied
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different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and
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in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium