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Field
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. The successful candidate will lead and contribute to innovative research projects using molecular, cellular, and immunological approaches, with opportunities to work with human samples, stem cell-derived systems
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molecular, cellular, and immunological approaches, with opportunities to work with human samples, stem cell-derived systems, and animal models. The position offers an excellent environment for scientific
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polariton propagation, low-energy switching concepts, few-particle modulation of condensate nonlinearities, integrated polaritonic circuit functions, and coupling of polaritonic states to on-chip detection
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 hour ago
environmental systems, heat transfer, fluid flow, thermal systems, or building-energy performance. • Low-carbon materials, concrete, biomaterials, or material characterization. • Sensors, environmental monitoring
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Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy
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28th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy Apply for this job See advertisement UiB
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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geometries, and optimization of surface and volumetric meshes. The fellow will also develop and evaluate multiphysics computational models coupling microwave electromagnetic energy deposition with bioheat