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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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Details Title Postdoctoral Fellow in Energy System Optimization and Digitization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description
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, with expertise in dynamic/data-driven modeling, optimization, Aspen, COMSOL, or CFD b. Techno-economic analysis (TEA) & life-cycle assessment (LCA) for chemical, energy, or biomanufacturing processes
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: Fusion Science for Clean Energy: Gamma-ray Spectroscopy diagnostic for WEST Project Introduction: As part of our Fusion Science for Clean Energy programme, we have one opening for a Research Fellow, to
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renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven control methodologies) the project will establish a robust framework for
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environmental impact. By drawing on interdisciplinary expertise (spanning renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven
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work at the interface of micro/nanofabrication, point-of-care (POC) development, and biomedical diagnostics. This role offers a unique opportunity to contribute to the design and optimization
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design in real-time simulation environment (Typhoon HIL) and conduct real time simulation studies/experimentation. • Design and develop an intelligent and optimal switching strategies, control
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• Develop comprehensive simulation environments and establish testing protocols • Conduct in-depth analysis and optimization of navigation system performance for energy consumption and accuracy
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combination immunotherapies. Development of NK cell and CAR-NK cell therapies. Building on advances in cellular engineering, we develop and optimize NK cell-based immunotherapies, including chimeric antigen