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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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team developing novel deep learning approaches with real-world impact in the space domain. This is an exciting opportunity for a motivated researcher to build on a strong academic publication record
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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The Princeton Plasma Physics Laboratory seeks doctoral thesis students who are enthusiastic, passionate and have a deep interest in and strong desire to pursue a career in plasma physics, fusion
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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of programming and artificial intelligence.; - Knowledge of deep learning and computer vision.; - Autonomy. Minimum requirements: Strong knowledge of the English language (written and spoken). 5. EVALUATION
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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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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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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 2 months ago
completed projects, preferably with publicly available repositories. Experience with deep learning frameworks such as PyTorch and JAX. Hands-on experience in developing and training deep learning models