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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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FOR Candidates should have a strong background in evolutionary biology and field entomology. Previous training in molecular biology techniques (such as amplicon sequencing) and arthropod husbandry will be seen as
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of spectrum sensing and DoA algorithms on RFSoC platformsIntegration and validation within the DRONE-SENSE platform Responsibilities: Design and implement distributed passive RF sensing nodes using RFSoC
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) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu/projects/CertiFOX/ Another long-standing objective is to
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the theory and the implementation of neural networks (for instance, transformers, CNNs) and/or search algorithms (for instance, branch & bound search, beam search) strong programming skills, where
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and numerical algorithms from linear algebra, statistics, optimization, machine learning, and AI, applying them to advance technology in fields like industrial automation, speech processing, digital
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the broad fields of speciation, herbivory, and endosymbiosis. The position aligns with an ERC Starting Grant (HYBRIPEST). WHAT WE ARE LOOKING FOR Candidates should have a strong background in evolutionary
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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