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Information Department of Mathematical Science Job Summary Performs a variety of administrative and staff support duties for an office, department, college, or unit, which require a range of skills and a
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people. Walton Institute ultimately offers flexibility in a great working environment for those looking to embark on a challenge. Where to apply Website https://www.setu.ie/vacancies Requirements Research
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flexibility in a great working environment for those looking to embark on a challenge Where to apply Website https://www.setu.ie/vacancies Requirements Research FieldCommunication sciencesEducation
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, and/or multiphysics modelling • Mathematics & AI: Numerical analysis, inverse problems, neural networks, scientific machine learning • Programming: Python (scientific computing, ML), preferably C
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
skills.to resolve a variety of moderately complex issues, and will work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. The Salesforce
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30 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique subatomique et de cosmologie Research Field Mathematics History » History of science Researcher Profile
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-crystal X-ray diffraction), and mass spectrometry. Thermal behaviour will be assessed using differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA), complemented by mass spectrometric
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artificial intelligence and mathematical modeling, to study behaviors affecting individuals with disabilities such as behavioral relapse and self-injurious behavior. This position does not require a background
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of Mathematics, which benefits from extensive experimental and computational facilities and hosts several research groups in related areas, bringing together a broad and complementary set of skills (https
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks