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Field
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) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
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-state quantum memories and entanglement sources. In particular, the candidates will work on an experiment demonstrating high-rate and long distance entanglement between quantum memories.The successful
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-state quantum memories and entanglement sources. In particular, the candidates will work to develop the quantum technologies for the demonstration of quantum repeater links, including quantum memories and
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: To synthesize Pb-free halide perovskites. To synthesize, delaminate and functionalize MXenes To develop novel sustainable ink formulations based on Pb-free halide perovskites, semiconductor oxides and 2D
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quantum memories and entanglement sources. In particular, the candidates will work to develop the quantum technologies for the demonstration of quantum repeater links, including quantum memories and quantum
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quantum memories and entanglement sources. In particular, the candidates will work on an experiment demonstrating high-rate and long distance entanglement between quantum memories. The successful candidate
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research team based at the School of Biomedical Sciences and Engineering, South China University of Technology (SCUT). Our research focuses on designing functional biomaterials that replicate the biochemical
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are endowed with some of the most complex ears across the animal kingdom that they use to detect mating partners. In our lab (https://www.neuromosquitolab.org ), we investigate fundamental biology aspects
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techniques that are able to operate a step beyond the commercial state of the art.The successful candidate will be responsible for studying how to apply optical techniques to recover the information of old
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molecular functions. Our aim is to develop new treatments by modifying skin microbiota using genetic engineering techniques. The selected candidate will work in a multidisciplinary team within a dynamic and