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Field
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Asia (SEA), focusing on Manila (Philippines) and Ho Chi Minh City (Vietnam). This position will be based at the School of Engineering at Newcastle University, focusing on developing models to predict AMR
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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
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: • Master’s degree or equivalent experience in building physics, architectural engineering, civil engineering (with a focus on materials or building science), heritage science, or a closely related scientific
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24 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Structural Engineering Research Field Engineering Researcher Profile
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27 Feb 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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or operations, energy resources and delivery, large load planning or projects, and affordability Demonstrated experience with using energy-related software tools, datasets and/or databases, and engineering
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | 2 days ago
jointly run by the Max Planck Institute for Software Systems (MPI-SWS), Max Planck Institute for Informatics (MPI-INF), the Computer Science Department at RPTU Kaiserslautern-Landau, and the