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Field
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processing software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL
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", specialises in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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algorithms. Strong analytical and problem-solving skills. Strong communication, presentation and report-writing skills for both technical and non-technical audiences. Ability to work effectively both
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not intended as a deep theoretical approach to machine learning. Students will finish the class with a basic understanding of how to execute predictive analytic algorithms, as well as rigorously test
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report on findings and opportunities for clinical and operational improvements Develop and maintain supporting documentation of measurement methods and algorithms, data sources, and reporting processes
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
. The neuromorphic component will address the design, optimization and deployment of Spiking Neural Networks (SNNs) and event-based algorithms on embedded processors and specialized accelerators, including data from
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Interaction and Human-Centred Computing Computer Vision and Multimedia Natural Language Processing Robotics and Autonomous Systems Algorithms, Optimisation and Theoretical Computer Science Responsible
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together with an IT-expert for the application of machine learning (ML) algorithms for the automated analysis of the recorded mass spectra. Requirements: - Master's degree in Planetary Sciences, Physics
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: algorithm design for the interpretation of measurements, designing algorithms for deciding which experiments to perform, communicating with the instruments, orchestrating the steps of the research campaign
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms