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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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microbiology and CMDs. You need to be ambitious, motivated, capable of working independently, and have good skills within written and spoken English. In addition, you should have experience with experimental
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and
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-state quantum sensing, utilizing nitrogen-vacancy (NV) centers in diamond for applications in quantum magnetometry. Our research combines fundamental exploration with innovation and industry collaboration
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. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org/multiqubit . The project is
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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background in experimental microbiology and has laboratory experience in e.g., minimum inhibitory concentration (MIC) assays, molecular techniques (qPCR and dPCR), and fluorescence microscopy. You are expected
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on developing energy-efficient, privacy-preserving IoT systems to enable proactive elderly care at home. More specifically the main responsibilities of the PhD candidate will include: Designing and deploying
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design methodology to improve system efficiency and power density while ensuring cost effectiveness. Our goal is to create next-generation solutions that tackle key challenges in the industry. We