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education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology
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, numerical implementation, and analysis of multi-scale heat transfer phenomena. Co-supervise PhD students and contribute to mentoring early-career researchers involved in related modelling activities. Attend
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candidate will lead tasks related to experimental testing and numerical modelling to verify structural performance under representative environmental conditions and establish a design envelope for
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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postdoctoral researcher to join the research group led by Ekaterina Shutova (https://www.shutova.org/) , part of the natural language processing research unit of the Institute for Logic, Language and
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8 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Mathematics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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the industry partner involved in the project Contributing to grant deliverables, presentations, and reporting Write high quality scientific manuscripts Contribute to our education program Train BSc, MSc and PhD
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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Twin and AI integration for hydraulic modelling, real-time data analysis for advanced leak detection and system optimisation, reducing energy costs, decreasing water losses and improving operational
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual