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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
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Associate will be actively involved in projects on optimization, data analytics, and control in power distribution systems, working closely with partners from utility companies and national laboratories, and
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the research area Medical Science, specifically neuroscience with the title: ”Cell Signalling at the Blood Brain Barrier”. The research group conducts translational research with a focus on
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electrons are not well understood, which, for example, limits our ability to design photocatalyst materials that deliver optimal light absorption, catalytic activity, and energy transport. Molecular
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on the integration of multi-energy systems in electricity markets. Models will be developed for the optimal management of distributed resources in multi-vector contexts, considering the most suitable optimization
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mass spectrometry analyses, including experimental design, data acquisition, and data interpretation. This role involves developing and optimizing methodologies, assisting users from diverse research
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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Scientist to join the Laboratory of Molecular Neurodegeneration in DPAG. The ideal candidate will be a motivated and skilled cell biologist with expertise in stem cell culture, neuronal differentiation, and
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, troubleshooting, and optimization of building automation and energy management systems. Provide technical guidance and escalation support for complex control issues involving HVAC, electrical, and life safety
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 13 hours ago
funded technologies and processes to optimize synthetic fuel production in remote/austere locations Assessment of critical mineral supply chains for opportunity to optimize for cost, energy, and production