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Field
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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biology, or a related field Experience designing, executing, analyzing, and interpreting quantitative experiments, including high-throughput screens. Experience with coding software such as Python, R, and
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physiology Competency in scientific programming (e.g. ImageJ, Python) for data analysis and image processing. About the Lab & Environment. The Krishnakumar lab is a highly collaborative group with access
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to and build upon modern Python-based statistical modeling tools such as pyhf, supporting likelihood publication, large-scale analysis combinations, and result reinterpretation across the ATLAS
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data analysis workflows in Python Conduct citation analysis of innovation and collaboration patterns Assist with machine learning and/or LLM-based analysis Participate in mentoring junior researchers in
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cell culture and cell biology. Strong instrumental analysis skills, specifically for investigating biological mechanisms utilizing U-M Core Facility resources. Experience in Python or R programming is
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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- Strong programming, statistical, and technical skills (e.g., Matlab, Python, R) Please apply with your cover letter, CV, and 2-3 references. For people in the EU, click here for information on your privacy
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data analysis workflows in Python Conduct citation analysis of innovation and collaboration patterns Assist with machine learning and/or LLM-based analysis Participate in mentoring junior researchers in
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analysis using Python. Organized and methodical in data collection and lab management. Ability to work alone or with others. Reliable and committed to the lab. Previous experience as a lab manager. Previous