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Field
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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for network modeling and regulatory module detection. Together, these groups aim to develop integrative, hybrid models that combine deep learning for genome interpretation with mechanistic biophysical
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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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seek to develop deep technologies that are informed by threat models for the emerging area of personalised medicine, and specifically where patient stratification or treatment personalisation leverages
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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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compounds with Essential Physicochemical Properties for drug design and development. Translate research findings into practical applications in pharmacology. Perform numerical simulations on deep learning
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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
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, generating research income and supervising honours and postgraduate research. Strong skills in managing research governance and funding, along with a deep understanding of rural health education and workforce
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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, Artificial Intelligence, Data Science, Computational Biology, Biomedical Engineering, or a related discipline. Strong research expertise in machine learning, deep learning, or computational modeling with