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machine learning and statistical analyses. Proficiency with Python and relevant libraries. Prior experience with genomic data modeling. Interest or experience working in neuroscience domain applications
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infrastructure. The Programmer/Data Analyst will have a number of key roles, including: Contribute to a codebase of Stata and Python to manage, process, and harmonize large administrative criminal justice datasets
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the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to
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complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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for processing NGS data (e.g., WGS, RNA-seq, single-cell, ChIP-seq). · Develop production-ready, version-controlled, well-documented software and command-line tools in Python, Perl, R, or similar languages
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animal models. They will lead the modification of existing bioinformatic approaches and develop new tools for data analysis. The individual should be familiar with R or Python-based tools to analyze
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Proficiency using Python Data Architect Senior Minimum 3 years' of professional experience. Comfort translating code for SQL servers to Oracle servers and vice versa Strong analytical, time-management, problem
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biology, biomedicine, statistics, bioinformatics or computer sciences - practical knowledge of at least one programming language (R, Python, Java, C/C++) and bioinformatics - Proficiency in English (spoken
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly