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, custom-trained neural networks, and related tools. Analyze and interpret high-dimensional neural datasets using systems neuroscience approaches such as neural networks, Bayesian inference, and decoding
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comparisons in tree shrews and rats. Our methods include behavioral training, motion capture, and large-scale neural recordings to examine how sensorimotor experience sculpts visual circuits and codes. By
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talented and motivated computational scientist to develop and deploy cutting-edge experimental platforms that integrate dynamic virtual reality environments with precise neural and behavioral measurements in
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imaging, and the Reiser labs’ expertise in instrumentation, fly behavior, neural circuit analysis, and connectomics. This position is part of AI@HHMI, a ten-year initiative to integrate artificial
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ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason about neural network behavior from
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-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason about neural network behavior from first principles. The role also requires
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to ensure the seamless integration of computational and experimental workflows. Strong programming skills in Python, PyTorch, and JAX are required, along with the ability to reason about neural network
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studies, statistical significance testing, and commitment to reproducible research and open science. Strong programming skills in Python and PyTorch, with the ability to reason about neural network behavior