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of, mechanical and electronic-circuit design, alongside fabrication methods (3D-printing, laser cutting, etc.) is expected. Strong candidates will also have software experience with coding in Python, C++, and
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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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writing production-quality Python code to parse, validate, and transform microscopy image data from published research papers, public databases, and internal repositories. This role requires technical
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in-vivo recordings. Perform coding-based data analysis (Python and/or MATLAB); working with and organizing big datasets (e.g. chronic in-vivo recording, videos and tracking). Optimize and troubleshoot
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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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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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. Focus on genetics, genomics, evolutionary biology, or computational biology is preferred. Experience with Python, R or a different scripting language is required. Experience with mathematical modeling and
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(Python, Julia, R, or Matlab). Excellent oral and written communication skills, including the ability to analyze data and prepare figures suitable for publication. Strong quantitative and/or computational
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knowledge and practical skills with computers, linux operating system, bash scripting and simple programming in Python is a plus. Physical Requirements Remaining in a normal seated or standing position
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applying AI and machine learning in robotics, including computer vision, adaptive control, real-time decision systems, and programming in Python and C++ for seamless integration with sensing and actuation