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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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. Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming and data analysis using tools such as Python, Pyomo, Pandas
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. Required Qualifications: 3-5 years’ experience with laboratory-based human subjects’ research. Strong statistical, analytical, programming (i.e., MATLAB, Python, R), and quantitative reasoning skills
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genomics (R, Python, or Bash/Unix). Experience with primary mammalian cell culture in a BSL-2 laboratory setting. Preferred Qualifications The ideal candidate will have a combination of experimental and
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genetics, or a closely related field. • Strong background in quantitative methods, statistical modeling, and computational approaches. • Experience in programming (e.g., Python, R, C++, Julia) and working
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, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python. 1–2 years of hands-on experience with PyTorch
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, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design Strong Python and scientific computing
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and analytical skills with the ability to interpret complex experimental data (R, Python, genomics data experience) Excellent written and verbal communication skills and a collaborative, team-oriented
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simulations and data analysis. This includes data analysis using Python-based algorithms. Experience with EELS is preferred. Skills This See Experience
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neuropathies, age-related macular degeneration, diabetic retinopathy, inherited retinal diseases, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn