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Field
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discipline, along with proven experience in biology or a related field — a PhD isn't essential, but candidates without one will need equivalent experience in bioinformatics software development in an academic
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learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease modeling, materials, and biomanufacturing). Candidates
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for Entrepreneurship and Innovation, and Argonne National Laboratory. We encourage connections with researchers across the university in such areas as bioinformatics, data science, mathematics, molecular engineering
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evaluate statistical and machine learning models - Publish results in peer-reviewed journals Desired Qualifications - Master’s degree in statistics, mathematics, data science, bioinformatics, physics
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from vaccination, natural infection, and controlled human infection studies. The Postdoctoral Research Scientist in Computational Biology will apply established and emerging bioinformatics, statistical
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, including single-cell transcriptomics, spatial omics, proteomics and other multi-omics platforms. You will independently design and implement bioinformatics pipelines, develop statistical and machine learning
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Professor position beginning Spring 2027. The department seeks candidates whose research centers on artificial intelligence, with particular emphasis on AI for cybersecurity, bioinformatics, gaming and
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a
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lecturer faculty members. The faculty are internationally recognized in research areas including data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The
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research questions. Write, test, and maintain research code using Python, R, and relevant bioinformatics tools. Perform data preprocessing, quality control, feature extraction, and downstream analysis