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field strong analytical skills, with knowledge of fluid dynamics, aerodynamics, and numerical simulation methods basic programming skills (e.g., Python, MATLAB, or similar) and familiarity with data
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into microscopy image analysis and analytical data analysis workflows, together with other team members Building new foundation models for microscopy image analysis Implementing AI-based microscopy image analysis
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proof of English proficiency. For detailed admission requirements, please visit the PhD in Civil & Environmental Engineering program page (https://www.unlv.edu/degree/phd-civil-environmental-engineering
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on-ground in Portland, ME. Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization
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, volatiles solubility in magmas or the formation of magmatic-hydrothermal ore deposits. More information can be found under the following link: https://www.isto-orleans.fr/ The PhD project is also part of
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and Data Analytics, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303 Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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or interest in AI/ML, data analytics, digital twins, or cyber-physical systems Good programming skills (e.g., Python, C++, or similar) Ability to work independently and as part of an international research team
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population data will be considered a strong advantage. The ideal candidate is comfortable learning new analytical methods and working with large and complex datasets. Qualification requirements PhD stipends
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data