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. Photonics technologies, particularly optical spectroscopic sensors, enable non-destructive, rapid evaluation methods that are transforming the agrifood sector. At VUB B-PHOT, we are developing the next
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novel methods for photorealistic scene reconstruction and understanding. The other position focuses on developing infrastructure-free, markerless motion capture systems using wearable sensors, exploring
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University - imec is looking for a qualified and motivated candidate to pursue a Ph.D. in artificial intelligence for energy applications. Our AI4E team has as a mission to research, develop and incubate data
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be required to perform the following tasks: Conduct research on optimising retrieval-augmented LLM systems to identify and categorise sensitive information from diverse OSINT sources Develop
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a collaborative initiative aimed at transforming clinical trial design and evaluation through advanced data science, automation, and simulation technologies. Central to this project is the development
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development. To integrate the image processing pipeline in a modular way, building on algorithms developed by your colleagues. To optimize performance and throughput and use software engineering best practices
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medicine. This vacancy focuses on the algorithmic aspects of these techniques. We are seeking to recruit a strong researcher with a background in computer science. The ideal candidate can provide computer
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at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
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extension to four years, will focus on leveraging the next generation of evolutionary algorithms to evolve efficient, robust, and interpretable predictors and data processing algorithms. A crucial aspect will
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-destructive, rapid evaluation methods that are transforming the agrifood sector. At VUB B-PHOT, we are developing the next generation of spectroscopic sensors, integrating spectroscopic analysis, machine