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Field
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the associated technology developments and studies, as well as the verification and validation laboratory facilities, and support the preparation of the relevant engineering standards. TEC-SE supports and develops
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; validating models using existing offshore datasets, lab-scale experiments, and collaborating with ongoing projects; developing optimisation algorithms for ensuring techno-economic feasibility of FPV systems
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interpret the reliability of underground maps? Your Role As an EngD candidate, you will work under supervision to develop a data-driven model for assessing the reliability of official network maps (KLIC
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the entire system, where many interconnected modules affect each other. In this project, you will be designing algorithms to guarantee the reliable operation of semiconductor machines, together with a highly
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research project in collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information
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: The use of data science and AI methods and techniques within the security and cyber domain, with special focus on ethics and algorithmic transparency; Human-Technology Interaction: Developing robots
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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well as develop new algorithms for inverse scattering. These extensions will be employed in a reconstruction process on actual measured data from real-world metrology, in line with the long-term vision presented in
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Location ESAC, Villanueva de la Cañada, Spain Our team and mission Under the direct authority of D/SCI, the Head of the Science Operations Department is responsible for the development
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent