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Materials, Bioinspired Materials and Sustainable Materials. We are looking for a research fellow with a strong background in electrochemistry and catalysis to Development and optimization of biomass chemical
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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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to etch novel lattice patterns Perform optical characterizations of structures using various optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental
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/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
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solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
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offers a unique opportunity to drive high-impact research in a collaborative and innovative scientific environment. Key Responsibilities: Contribute to the development and optimization of protein
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development and optimization of plasma-based PVD and CVD processes for advanced material applications. Operate and maintain semiconductor analysis and metrology tools to evaluate thin film and device properties
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characterize plasma process equipment. Familiar with COMSOL software to simulate the influence of magnetic field on plasma flow. Conducts various design simulations to refine processes. Optimize vacuum coating