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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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replication: use fully converged simulations as references; design experiments to measure convergence speed, accuracy, robustness, and cost vs. baseline workflows. Agent & data pipeline engineering: build
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fluid delivery and complete lab-on-a-chip integration for point-of-care devices. The application and technology transfer of the nanobiosensor devices for clinical diagnostics and environmental control is
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experience with SIESTA will be a plus but it is not essential. Other research and software engineering experience will be considered, and will affect whether successful candidates receive offers
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. This includes lasers, spectrometers, detectors, time-resolved measurements. Requirements: Bachelor level background in physics, nanoscience or engineering. Knowledge and Professional Experience: Background in
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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Reporting experimental data Requirements: Education: Bachelor's degree preferred Knowledge and Professional Experience: Technical background in (engineering, physics, chemistry...) Ebeam lithography
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g