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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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11th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Hardware-Aware Deep Learning Model Optimization Apply for this job See
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. The techniques used will include Laser Doppler Vibrometry (LDV) and Air Coupled (AC) ultrasound detection. The candidate will design optimized setups for (i) vibration excitation by an impactor or ultrasonic
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of aircraft with fundamentally different operational characteristics. You will simulate mixed-fleet operations in European airspace and analyze how they will impact the future air traffic system, as
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scales, and require high-dimensional parameterizations. A single high-fidelity simulation of the full system is often too expensive to be used repeatedly, for instance in optimization, uncertainty
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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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-dovrolis.html https://www.tudelft.nl/en/eemcs/the-faculty/departments/software-technology/networked-systems N. Mhaisen, G. Iosifidis, On the Dynamic Regret of Following the Regularized Leader: Optimism with
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dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
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protoDUNEs, were built and allowed to test three different reading technologies. Two technologies have been selected for the first two remote sensor modules: the first, wire-based, and the second, PCB-based