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--material interactions with the design and development of experimental platforms for rapid, automated materials processing and characterization. The researcher will work at the
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
Generation Satellite Communication project in partnership with ANU. The PhD candidate will contribute to the projects’ objectives by researching into new wireless communication schemes and signal processing
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 3 hours ago
cutting-edge machine (deep) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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artificial intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three
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analytic skills, and develop new models of examining the data To provide teaching to junior staff in the lab in neuroscience-related research methods, especially in pre-processing and processing of EEG
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processing and neural circuit mechanisms. Job Responsibilities Conduct research on mechanosensory and somatosensory circuits and sensory coding. Develop and apply behavioural assays, calcium imaging and
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. The role focuses integrates polymer design/synthesis, processing, and experimental characterization to establish processing–structure–property–performance relationships. Through these contributions, the
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foundations for a path to promising and validating modes of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. For more information
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experiments for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban