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the possibility of extension. We are seeking a Research Fellow who will play a key role in driving the development, execution and analysis of research that leverage on technology and data science to address
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connect to DOE facilities for near-real-time data analysis. Your work will help 12,000+ users run faster, more reliable science. What You Will Do: Contribute to one or more NESAP scientific workflows
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qualitative data analysis skills, including use of NVivo or similar software Excellent communication skills, including writing for publication Ability to work independently and collaboratively within a team
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Information Work Location(s) Number of offers available1Company/InstituteFaculty of Mathematics and Natural Sciences, Department of Goegraphy, CountryGermanyGeofield Contact State/Province Berlin City Berlin
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-reviewed venues. Examples of NESAP project themes: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment
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evaluation and analysis. Ability to independently operate lab instruments (e.g., oscilloscopes, lasers) for security testing and data analysis. Proficiency with tools such as Python, MATLAB, or C
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Geometry Differential Geometry and Geometric Analysis Differential Equations Scientific Computing Interdisciplinary Studies Analysis and Probability Mathematical foundations for AI Applicants are encouraged
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externally funded projects will work towards this goal. The Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences, has a vacancy for
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Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever‑Changing World. You will be responsible for developing new temporal analysis methods, implementing software
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We are looking for an experienced researcher with expertise in the generation and analysis of quantitative education data to work in the Observatory for Mathematical Education ; a collaboration