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equivalent) in physics, computer science, mathematics, data science, computational science, and cognitive science Very good programming skills (e.g., in Python, C++, or comparable languages) Ideally, initial
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conferences and participation in project workshops in Wuppertal and Groningen (NL) Your Profile: Completed university degree (master`s or equivalent) in physics, computer science, mathematics, data science
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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characterization of the material. - Establish and optimize experimental protocols. - Check the performance of the instruments. - Ensure the training and supervision of users. 2. Experimental characterization
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faculty position beginning Fall 2026 in the area of Scientific Machine Learning and AI for Science. We seek candidates working on the mathematical and computational foundations of Scientific Machine
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Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas
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fields lie in the following areas (Divisions and Departments - Fraunhofer ITWM ): »Optimization« »Flow an Material Simulation« »Mathematics for Vehicle Engineering« »System Analysis, Prognosis and Control
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reproducible data models and statistical analyses (e.g., regression, clustering, predictive modeling). Contribute to scenario planning, enrollment forecasting, and operational optimization projects. Data
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Georgia Institute of Technology, School of Mathematics Position ID: GeorgiaTech-VAP_2526 [#27344] Position Title: Position Type: Non tenure-track faculty Position Location: Atlanta, Georgia 30332
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Georgia Institute of Technology, School of Mathematics Position ID: GeorgiaTech-HALE_2526 [#27343] Position Title: Position Type: Non tenure-track faculty Position Location: Atlanta, Georgia 30332