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exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a multidisciplinary environment
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expect from you? A PhD in archaeology or computer science/AI, or a related discipline Experience with computing, preferably machine learning; candidates from an archaeological background with a
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Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 3 - Profile What do we expect from you? You hold a PhD in machine learning, artificial intelligence, computer
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that learn effective discovery strategies within it. You will combine archaeological and landscape data (maps, satellite imagery, archaeological datasets) with machine learning approaches to build a
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modeling, machine learning, reduced-order techniques, and computational fluid dynamics. The project will deliver the next generation of predictive tools for the design and optimization of low
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intelligence, machine learning, and digital forensics. The successful candidate will join a research initiative conducted in close collaboration with a partner, with the aim of strengthening digital
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and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine learning and/or artificial intelligence. Prior experience with
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. You have experience with building optical instruments. You have experience with machine learning and programming. You have excellent communication skills across disciplines: you can work effectively
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datasets and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine learning and/or artificial intelligence. Prior