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, investigating novel methods for photorealistic scene reconstruction and understanding. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation
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machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability, these models will also be optimized to run efficiently on edge hardware
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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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engineering or mathematical engineering Good understanding of statistics and machine/deep learning algorithms Interest in Biomedical data science Excellent programming skills in Python Proficient English, both
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development of (open source) tools and algorithms for numerical simulations; o supervise PhD students conducting research in the field of this vacancy; o take responsibility for project coordination
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contract. Start of the mandate: 01/10 or 01/11 Extra information In November there will be an info session for starting UGent postdocs. Starting postdocs will be noticed through email (and on this webpage
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postdoc position BEE2.You can apply for this job no later than November 15, 2025 via the online application tool: http://www.kuleuven.be/eapplyingforjobs/light/60343030Please provide your C.V. and a
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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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related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity
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postdoc position in a dynamic and internationally recognized research environment. Supervision by Prof. Stef Lhermitte and collaboration with the Earthmapps team. Access to high-performance computing