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Field
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is closely involved. Main responsibilities: • Implement and optimise algorithms for data processing, waveform modelling and parameter estimation in line with best practice in software engineering
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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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. · Analysis of temporal changes using satellite images. · Organisation and statistical analysis of data in R. · Programming of automated species identification algorithms. · Identification of bird species by
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R. · Programming of automated species identification algorithms. · Creation of a database of photos and videos with species identification. · Identification of bird species by listening to bird song
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generate, transmit, and detect OAM-entangled photons under realistic atmospheric turbulence. Deep learning algorithms will be employed to pre-compensate distortions in real time, maximizing state fidelity
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models, signal processing methods, artificial intelligence (AI) tools, and optimization algorithms grounded in electromagnetic (EM) principles. The project is inherently interdisciplinary, bridging
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of a project in the Reumatology Research group and the following characteristics: Project: Clinical validation of the OPTIBIO algorithm to predict permanence in remission in patients with rheumatoid
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for the development of a project in the Translational and Multidisciplinary Microbiology Research group and the following characteristics: Project: Clinical validation of the OPTIBIO algorithm to predict permanence in
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. Minoru Otani). The post holder will undertake the following tasks: Contribution to the design, implementation, testing and demonstration of new methodologies and algorithms for the study of electrochemical