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design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory instrumentation. Preparing
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. Responsibilities Responsibilities include: Importing, reconstructing, and quality checking neuroimaging data. Editing and writing bash and Python scripts to batch process MRI data using software such as FSL
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projects, Pytorch familiarity preferred Current enrolled in a graduate or PhD program preferred Other Requirements Intermediate coding experience in Python Equal Opportunity Employer / Disability / Veteran
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the cell culture environment. b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models
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, including REDCap along with experience in research compliance and administrative management systems. Experience in Python, R, and MATLAB for data analysis. Experience in administering and developing fMRI and
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for data analysis (R, Python, Matlab). Cell biology background. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected
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representation learning, diffusion/VAE/flow matching architectures ? Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks
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Physical or Computational Science required. The successful candidate should have substantial experience developing scientific software and a track record of contributions to open-source Python project(s
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neuroscience or a related field Preferred Qualifications: 4 years of postdoctoral research experience or equivalent Publication in peer reviewed journals in the neuroscience field Proficient in Python
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extracellular recordings during epileptiform activity and seizures. Expertise in mathematical software including MATLAB and Python, and in imaging software such as Canvas. Prior experience in mentoring graduate