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of the project is to develop and operate a tailored, near-real-time geodetic monitoring approach that provides reliable, transparent, and interpretable 3D surface displacement estimates. The research will focus
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collected by moored probes, underwater gliders and micro-AUVs and shipborne sampling. Furthermore, parameters describing atmospheric variability and riverine inputs will be included in the analysis to better
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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accurate Reactor Kinetics parameters for such models. This research will quantify how different modelling choices affect key neutron-physics and safety-relevant Figures of Merit and, in doing so, establish a
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integration of simulation and AI-based analysis. An analytical Monte Carlo-inspired simulator will optimize system geometry and acquisition parameters, support sensitivity studies, and serve as a forward
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on neurophysiology and behavior are typically small in size, the technique has the advantage to be very flexible in terms of application sites and time courses of the applied currents, leading to large parameter
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hired, and the candidate(s) are exempt from paying the fee until the final ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3
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(Governmental Public Employment Portal), as well as in both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h
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20 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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of measurement for a squad of football players and insight into how they might change across time. Recently, estimation of spatiotemporal variables (e.g., contact/flight time, step time/frequency) from IMU data