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stability. Affinity with numerical simulation, algorithm development and scientific programming. Excellent communication skills in English. The following are considered assets: Knowledge of power electronics
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of trustworthy neurosymbolic AI. There is both a theoretic and practical component to this topic, since the ultimate goal is to implement efficient algorithms that allow reasoning engines to produce
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of underlying 3D scene representations. This requires the designing and developing of specialized computer-generated hologram (CGH) algorithms, modeling the propagation of incoherent light through space
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simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy
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primarily on the development, validation, and implementation of the Psychological Referral Optimization algorithm (PRO). PRO is a brief digital e-screening tool designed to support early identification, risk
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy efficiency, and spectrum utilisation in integrated terrestrial and non-terrestrial networks. Position You
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Science, Artificial Intelligence, or a related field be ranked within the top 10% of their class at MSc and BSc level, with outstanding study results have a strong background in ML algorithms, with programming
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24 Jun 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Other Mathematics » Algorithms Mathematics » Computational mathematics Researcher Profile First Stage
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable