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their physical efficiency through training, this project aims to develop software methods that allow deployed neural networks to progressively reduce their resource footprint while maintaining application
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(UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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ideas, write a postdoc fellowship proposal (FWO or MSCA), contribute to proposals led by the PI, supervise junior researchers, and build an international scientific network. Selection process For more
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validation. This position offers a unique opportunity to contribute to cutting-edge research in viral vector bioprocessing while working within a highly collaborative international network at the forefront
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existing dyadic time series data to obtain novel insights into how emotions unfold and are regulated interpersonallyThe postdoc will prepare high-quality scientific papers and present their research findings
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investigate end-to end guarantees of correctness. When successful, this will have a major impact on the way combinatorial optimization software is developed, evaluated, and used: the proofs produced
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the development of predictive network intelligence for integrated terrestrial and NTN systems. In its first phase, the candidate will contribute to the development of a software-defined radio-based spectrum sensing
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motivated interdisciplinary team, with an extensive international network Membership of KU Leuven, one of the largest research universities of Europe and the most innovative university of Europe (ranked first
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for the EU-Doctoral Network projects, the recruited researchers must comply with the following conditions: are - at the date of recruitment - doctoral candidates (DCs) (i.e not already in possession of a
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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities