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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | 12 days ago
Researcher to work within the Research Department of the “CoE MARBLE – Centre of Excellence in Maritime Robotics and Technologies for Sustainable Blue Economy” (https://www.marble.eu/ ). The successful
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to work
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of inorganic, organic, and energy resources. The doctoral candidate will join a team internationally recognized for its work on advanced electrochemical processes, innovative electrochemical reactors, treated
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: Wireless Communications Group: Mobile Systems - Av Work Objectives: Energy-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure
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or other factors to ensure optimal performance; make recommendations and modifications, as necessary. Direct or personally performs root-cause analysis to make performance improvement decisions and implement
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) invites self-driven and skilled engineering candidates to apply for a competition-based admission to a doctoral study program in Mechanical Engineering under the PhD project ‘Rapid manufacturing of energy
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Number req26782 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Location Tucson Campus Address
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cookie and refresh page to watch video, or click here to open video) About the position The international shipping industry is striving to decarbonize and save energy. One of the most promising
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optimization engines for memory-aware deployment, compiler and runtime systems capable of supporting dynamic neural network topologies, energy-efficient embedded AI frameworks targeting RISC-V multicore and