492 algorithm-development-"Multiple"-"Prof"-"Prof"-"Washington-University-in-St" positions
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, Microsoft SQL Server and other database systems for generating reports. The ability to learn new technologies, the knowledge and ability to interpret multiple programming language syntax and logical
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, and tumor evolution. The Collins Genomics Lab is an interdisciplinary and highly collaborative laboratory with diverse scientists from various scientific domains leading exciting cancer research
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | 2 months ago
techniques utilizing claims data to detect aberrancies and outliers in claims and develop trends and patterns for potential cases. Develop algorithms, queries, and reports to detect potential FWA activity
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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. Our academic health system — the only in mid-Missouri — is home to multiple hospitals, including the region’s only Level 1 Trauma Center and region’s only Children’s Hospital as well as over 90
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knowledge of the world’s oceans and inhabitants to better understand their economic importance and the impact people have on them. Through this effort, IMS maintains the responsibility to encourage, develop
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integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract
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3 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Mathematics » Algorithms Mathematics
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: Fulltime Are you interested in working in an ambitious team that combines genomics and tumor evolution to better understand pediatric cancers? Do you have a passion for understanding why some cancers resist
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. Proficient with running machine learning algorithms (e.g., Random Forest, CART) and regression models (e.g., SAR, LME) to derive ecological insights from big data sets. Experience developing reproducible and