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Field
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training costs are exploding, largely due to energy and bandwidth inefficiencies in current electrical datacenters. Our group is developing a novel Optical Circuit Switched (OCS) architecture
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional
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using cell lines according to ISO-10993 norm. In vitro visualization methods, staining (CLSM) Evaluate antibacterial activity under physiologically relevant conditions (serum proteins, pH changes
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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sepsis, with a focus on neuroimmune and interorgan communication. Mandatory requirements The successful candidate will have: • Extensive experience with bioinformatics (the analysis of bulk and single-cell
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a major energy-transition challenge: reducing CO₂ emissions from high-temperature chemical processes, a large share of industrial energy use. Key processes—methane steam reforming, naphtha steam
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compliance. The optimal candidate will have a background in neuroscience, as well as a solid understanding of genetic, cell biological, biochemical, and/or molecular biology techniques. In addition
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, or cyber-physical systems Strong expertise in at least one: power system dynamics, inverter-based resources, microgrid modeling, or nonlinear control Solid foundation in dynamical systems, optimization
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy