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/Administrative Internal Number: 495975 Department: Chemistry Salary: Commensurate with Experience/Education Description: Provides expertise in support of research projects in engineering, biology, mathematics
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
knowledge of models and trends in the AI community, o experience with data analysis and processing, · experience with the following technologies is an advantage: o experience with High Performance
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exciting opportunity to work closely with Professor Gita Gopinath on cutting-edge research in international finance and macroeconomics. The position is ideal for candidates planning to pursue a Ph.D. in
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23 Mar 2026 Job Information Organisation/Company PHAETHON Centre of Excellence Research Field Engineering » Mechanical engineering Engineering » Electrical engineering Computer science Mathematics
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | about 1 month ago
sciences, specializing in mechanical engineering Experience in mathematical modeling of centralized heating systems, using GIS tools, and energy system analysis. LanguagesCROATIANLevelExcellent Additional
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data-driven nutrition. In this role, you will contribute to applied research that bridges industrial mathematics, data analytics, and nutrition science. About us Fraunhofer-Chalmers Centre (FCC) is a
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Job Description FACULTY OF SCIENCE DEPARTMENT OF MATHEMATICS The Department is strongly committed to producing top-class research in the areas of applied mathematics, scientific computing and
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24 Jan 2026 Job Information Organisation/Company HONG KONG BAPTIST UNIVERSITY Research Field Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation