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Description Research on quantum key distribution (QKD) protocols Design and implementation of advanced communications schemes based on QKD Where to apply Website https://sede.uvigo.gal/public/catalog-detail
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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. Specifically, its activities will be developed in the following areas: - Design and creation of technical content and audiovisual material about IA algorithm, machine learning techniques and IoT. - Support to
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algorithms using artificial intelligence for the implementation of cognitive autonomous robots. Where to apply E-mail ricardo.sanz@upm.es Requirements Research FieldEngineering » Industrial
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career. KEY RESPONSIBILITIES Development of machine learning & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics. Carry out high
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to be used in space-based quantum communication applications. Communication protocols such as quantum key distribution (QKD) represent a promising solution for ensuring future communication security, and
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. Development and experimental validation of control algorithms in a laboratory environment. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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Learning codes using high performance computing (HPC)” Specifically, the candidate will carry out research tasks for the design, implementation, and evaluation on HPC systems of parallel algorithms in