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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with simulation environments such as Unity ML-Agents, NVIDIA Isaac Sim, Mujoco, or similar. Solid
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, neurosymbolic methods, or other emerging directions within machine learning. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation. Relevant application areas
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Intelligence, Data Mining and Machine Learning, and introductory-level programming for majors and non-majors Serve as a mentor and advisor for student researchers Develop an active research agenda, or engage in
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Are you an established leader with a track record of conducting cutting-edge research in Computer Vision? Do you publish in top-tier Computer Vision and Machine Learning conferences? Do you have
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machine learning. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation. Relevant application areas may include (but are not limited to) natural
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in areas such as machine learning, deep learning, or AI). As such, strong computer skills and proficiency in statistical software and programming tools are essential. Postdoctoral experience
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the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that can help to gauge the prevalence, forms, and distribution of slavery in wars
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August 2025. We seek excellent candidates in all areas, with specific needs in AI/machine learning, software engineering/HCI, theoretical computer science, data science/data mining, wireless networks
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learning) to advance in-silico drug discovery. If you are a senior AI/MD expert with experience in applying machine learning to scientific simulation and a passion for driving innovation, we want to hear
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and data analysis methods Creation of systems for managing, analyzing, and visualizing large datasets Application of machine learning and AI techniques to domain-specific challenges Collaboration with