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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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the Department of Biochemistry and Molecular Genetics (BCMG), and a faculty member in the Center for Bioinformatics and Quantitative Biology (CBQB) at UIC. The successful candidate will conduct computational
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support to faculty and administrative staff. Continuously monitors OIRDS applications and program scripts to distribute workloads efficiently across servers, ensuring optimal system performance. Implements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is
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Analysis Machine Learning Genetics Molecular Biology References: Developmental mitochondrial complex I activity determines lifespan. Stefanatos R, Robertson F, Castejon-Vega B, Yu Y, Uribe AH, Myers K
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of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows into independent research careers; many have achieved their own NIH K/R grants and
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), data structures and algorithms, databases, operating systems, networks, computer security, and software engineering; (2) prepare course syllabi and handouts; (3) evaluate and grade student assignments
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work is robustly extending genomic discoveries into under-represented populations, as well as improving portability of genetic risk prediction algorithms into the same populations in anticipation