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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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opportunity for publication of this suite of tools in a methodological journal. What you bring: A degree in computational sciences or equivalent (M.Sc. or Ph.D). Experience with C# and Python programming (async
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findings clearly to research team members What You Bring Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, or a related quantitative field Strong programming skills in Python and R
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in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge. e.g. logistic regression, SVM, neural network models Basic
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computing experience. Proficiency running bioinformatics pipelines in R, Matlab, and/or Python. Proficiency in data analysis, data visualization, and statistical inference. Ability to perform independent
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undergraduate laboratory courses) is desired but not required. Knowledge of basic laboratory practices and techniques. Molecular cloning skills preferred Familiarity with R and Python preferred Willingness
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organizational skills. Excellent record keeping/ lab notebook management. Preferred Qualifications: Familiarity with a coding language (Python or others). Physical Requirements Remaining in a normal seated or
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data analysis (MATLAB, Python, etc.) Optics and engineering (machining CNC/3D printing). Lab animal husbandry and surgical approaches (cranial implants, intracranial injections). Behavioral testing in
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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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, neuroscience, biology, mathematics, or a related field. Proficiency in Python or Julia (Matlab preferred) and strong debugging skills. Experience using GitHub for version control and organizing/publishing