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University is inviting applications for faculty positions in Mathematics. Faculty whose research lies in Mathematical Analysis (including Numerical Analysis), Algebra and Algebraic Geometry, Applied
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visualization for financial analysis as well as Microsoft Office Suite (Word, PowerPoint), SharePoint, Teams, and other documentation and collaboration tools Demonstrated experience in working with diverse groups
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data into solutions—protecting ecosystems and empowering communities worldwide. Expectations 1. Data Management & Analysis Develop, maintain, and optimize data pipelines for collecting, cleaning
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statistically advanced programs in SAS and other software to allow analysis of data from large and sensitive healthcare administrative datasets and population-based surveys. We are seeking two applicants with
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seeking to hire a Full-Stack Machine Learning Engineer (MLE) / Data Scientist (DS) to support the end-to-end management, analysis, and visualization of behavioral and clinical data streams. The full-stack
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be generating terabytes of image data per day, there are several open research problems that would become the research focus of a postdoctoral candidate. The problems include (a) finding optimal
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For in Asia. To find out more about RMIT Vietnam and our current vacancies, please visit our website: https://www.rmit.edu.vn/careers Your Role The Audio/Visual Engineer is responsible for implementing and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 23 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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Change Mitigation, Cross Sectional Analysis, Cross Sector Collaboration, Cultural Humility, Data Analysis Tools, Data Analytics, Data Visualization, Diversity Sensitivity, Energy Sectors, Executive Summary