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digital solutions Practical programming skills, ideally in Python; experience in developing automation, interfaces, or data pipelines is an advantage Basic knowledge of data management, data modeling, and
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. R, Python, MATLAB or similar) Ability to integrate molecular, clinical and experimental data in translational research projects Experience in scientific communication, including publications and
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graduate student at the University of Michigan Available to attend lectures and lead lab sessions Demonstrated knowledge and skill in Python, including libraries and methods relevant to scientific computing
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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. Preference will be given to candidates proficient in design and development of a new optical instrumentation, FLIM, software development, especially with Java for ImageJ/Fiji, Python, LabVIEW, and MATLAB, and
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analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. High motivation, ability to quickly
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interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
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with or commitment to learning and growing as an instructor; experience using R or Python, either in teaching or to support work in statistics and/or data science. Desired Qualifications Experience
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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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will require a strong interest in experimentation, reproducibility of results, and reading scientific papers. Good programming skills (in practice Python) are expected, as well as a genuine interest in