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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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Technology Institute Groningen (ENTEG). The project aims to address timely challenges in the analysis, design, and operation of complex socio-technical systems, such as energy and transportation networks. What
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The USC Viterbi School of Engineering (http://viterbi.usc.edu( opens in new window) ) at the University of Southern California seeks outstanding research faculty candidates for full-time, non-tenure
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16 Jul 2026 Job Information Organisation/Company Faculdade de Ciências e Tecnologia Department Divisão de Recursos Humanos Research Field Engineering » Chemical engineering Researcher Profile
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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Architecture and Planning Research Field Architecture Researcher Profile
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The position is focusing on the use of digital technology in child welfare services. Norwegian child
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photothermal approaches and design novel organic photocatalysts tailored to these processes. The development of these photocatalysts will be supported by theoretical modelling and AI-based tools in close
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14 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14 Aug 2026 - 23:59 (UTC
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
include other domain models for optimization (e.g. noise) in collaboration with other departments of the faculty of aerospace engineering. This PhD position is part of the Dutch Aviation Systems Analysis
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
. The miniaturization of experimental setups has transformed the study of physical, chemical, and biological systems. State-of-the-art microfluidic platforms enable the combinatorial generation, processing, and analysis