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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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scientific environments is required. Strong writing skills, as demonstrated through writing samples, are essential. Quantitative skills in Python, R, and/or SAS are desired but not required. Must be able
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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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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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, 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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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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or Python, superior motivation, drive and demonstrated aptitude for carrying out independent research, as well as experience and interest in training and mentoring team members, are highly desirable