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, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable but not required. • Ability to interpret and
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/ statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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/statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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of the position will focus on the development of computational modeling approaches for cellular signaling pathways and multi-cellular communication using high-performance computing techniques and the
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, energy and environmental science; engineering sciences; materials and advanced manufacturing; math, computing and information science, nanodevices and microsystems; physical sciences; and radiation
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analysis, and eQTL analysis. Familiarity with common bioinformatics tools and databases, such as Ensembl, UCSC Genome Browser, and dbGaP. Familiarity with HPC and cloud computing infrastructure
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undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech’s faculty attracted more than $1.4 billion in research awards this past