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Field
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and
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on energy or infrastructure issues. Background in digital twin platforms, cyber-physical systems, or energy system modeling and optimization. Familiarity with large-scale energy or socio-technical datasets
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systems, capable of designing and deploying innovative IoT solutions for research projects such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
, energy optimization, and sustainable urban mobility. The position focuses on the development of a hybrid electromobility model within the eMob-Twin platform, combining large-scale mobility data from
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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focused on translational control in cancer • Drive the development and advance our single-cell ribosome profiling strategies in mouse models of cancer • Contribute to the development and optimization of new
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust