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planning and operational execution by piloting innovative initiatives, optimizing workforce technologies, analyzing workforce data, and integrating cross-functional efforts to advance organizational
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Advance at Chalmers. You find the full list of PIs of these research groups on the Chalmers homepage: https://www.chalmers.se/en/collaborate-with-us/collaborate-in-research-and-innovation/research-related
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optimization Empower the patient with knowledge and access to support resources. Improve the patient and family experience of care. Participate in Patients Are First measures and associated Medical Home goals
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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but are not limited to systems/data science, artificial intelligence, machine learning, modern design and optimization, and molecular dynamics for catalysis, energy storage and conversion, smart
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hardware development and system-level optimization. Where to apply Website https://www.academictransfer.com/en/jobs/356825/postdoc-position-on-power-elect… Requirements Specific Requirements PhD in
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applicants for a PhD Fellowship in Optimization of Multi-Energy Systems, at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The position is vacant from February 2026
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structures, integrating morphing wings and additive manufacturing processes for high-performance and energy-efficient drones. Keywords: Morphing wings, composites, additive manufacturing, aerodynamics, UAV
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integration and optimized operation using machine learning and AI techniques as key drivers for improving system performance. The hired candidate will have the opportunity to work with cutting-edge energy
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and ensure software is running current versions. Monitor and enhance the operating environment to ensure optimal performance. Develops and maintains workflows for updating equipment, tracking mobile