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photonics, and nanophotonics. Develop and apply analytical models for light scattering phenomena in photonic structures. Perform numerical simulations using tools such as Lumerical FDTD and COMSOL
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applied to concrete and rocks. Professional Experience: Experimental testing methodologies for quasi-brittle materials such as concrete and rocks, including salt rock. Constitutive models applied
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characterization of high-quality 2D ferroelectric materials (e.g. 3R-TMDs, layered ferroelectrics) using exfoliation, stacking, and ultra-clean heterostructure assembly techniques. Advanced optical and
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Asia. Fudan University provides a world-class academic environment with internationally recognized strengths in life sciences, medicine, materials science, and artificial intelligence. Postdoctoral
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approaches capable of guiding experiments, interpreting results in real time, generating predictive models of materials synthesis processes, and refining experimental strategies under a Human-In-The-Loop
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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models
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Processes Unit, seeking talented and motivated candidates to work on biogas production from the organic fraction of municipal solid waste. This position is part of the HUB Madrid Vuela Sostenible Project, a
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puzzles in a quantum simulation approach. Moreover, they allow one to engineer and investigate even richer variants of the model, which go beyond the realm of existing materials. In our group, we
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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher in Artificial Intelligence for Materials Discovery Research area or group: Artificial Intelligence Platform and Inorganic