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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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in machine learning, computer science, computational biology, statistics, or a related field.Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).Experience developing AI
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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in machine learning, computer science, computational biology, statistics, or a related field. Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Experience developing AI
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the mechanisms of brain function and neurological disease across the scales of biology, spanning neurodegeneration, neurodevelopment, synaptic biology, and computational neuroscience. AI and large language models