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planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis. A central goal of this recruitment is to
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agofor a networked research and innovation landscape. The focus of this work is on designing semantic knowledge models for digital materials research at the intersection of materials science and knowledge
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. Strong background in MRI, NMR, spin physics, magnetic resonance relaxation, or a related area. Experience with experimental research and quantitative data analysis. Experience with MR pulse-sequence
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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scientific and technical coordination of the project. This represents an excellent opportunity to consolidate experience in international project leadership, expand collaborative networks, and develop a
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 3 hours ago
their field of study Engage with new areas of basic and applied research Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community
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20 Jul 2026 Job Information Organisation/Company Łukasiewicz Research Network - Krakow Institute of Technology Department HR Research Field Other Researcher Profile Leading Researcher (R4) Positions
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the intent to diversify the scientific research community. For this reason, we strive to contribute to a non-linear career path with the aim to expand your technical expertise and network for a succcessful (re
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should be competent in engineering analysis, including product teardown, product architecture mapping, component and material analysis, and engineering feasibility assessments. You should be enthusiastic
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry