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–2029 (UID/04107/2025), signed between the Foundation for Science and Technology, I.P. (FCT) and IE-ULisboa, under the following conditions: 1. Scientific Area: Educational Sciences 2. Admission
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16 Apr 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Biology Research Field Biological sciences » Biology Researcher Profile
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together researchers from mathematics, civil engineering, biology, industrial ecology, and science and technology studies, hosted by the interdisciplinary research team Water and Water Systems connecting
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-184689-26 General Description PREP Research Associate This position is part of the National Institute of Standards and
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School of Chemistry, Chemical Engineering and Biotechnology is a new interdisciplinary school at NTU, inaugurated in August 2022 by integrating the Division of Chemistry and Biological Chemistry
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the use of modern machine‑learning methods within applied mathematics—particularly physics‑informed learning, anomaly detection, data‑driven modelling, and the construction of surrogate models grounded in
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
Qualifications: Bachelor’s degree in Mechanical Engineering Proficient knowledge of the finite element method for structural analysis using Abaqus® software Advanced knowledge of programming languages such as
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20 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Marine Technology Research Field Engineering Researcher Profile
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control