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of the following areas: Computer Science, Computer Science and Technology, or other disciplines with strong quantitative background. Proficiency in at least one programming language, such as R, C, Python or MATLAB
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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-processing, pipeline development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and developmental biology Optional previous experience with
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Informatics, or a related quantitative field. Strong programming skills in Python and/or C++. Peer-reviewed publication record appropriate for career stage. Ability to lead independent research projects while
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. Applicants are expected to have strong programming skills in Python, hands-on experience with PyTorch, and practical experience with GPU computing. Experience with engineering simulation, computational
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computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories
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development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and developmental biology Optional previous experience with epigenomic data analysis
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populations). Proficiency in R, Python, and SQL. Certifications/Licenses Required Knowledge, Skills, and Abilities Leadership role on funded grant(s). Preferred Qualifications Experience with EHR data such as
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. Experience with finite-element methods tools such as COMSOL is highly desirable. 4, Proficiency in scientific programming and data analysis using Python, MATLAB, C++, or related programming languages. 5
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | 2 months ago(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Subject 2