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archaeological and landscape data (maps, satellite imagery, archaeological datasets) with machine learning approaches to build a system that highlights promising locations for archaeological research. You are
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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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-objective deep reinforcement learning algorithms, to support decision makers under uncertainty. VUB team: Prof. dr. Ralf Vandam (AMGC), Prof. dr. Pieter Libin (FLAIR) Within the ARCHAI project, you will
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expertise in archaeological prospection with the FLAIR's strengths in developing new multi-objective deep reinforcement learning algorithms, to support decision makers under uncertainty. VUB team: Prof. dr
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Reinforcement Learning for Epidemic Mitigation Category: Academic Staff & Researchers 1 - Working at the VUB For more than 50 years, the Vrije Universiteit Brussel has stood for f reedom, equality and
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-objective deep reinforcement learning algorithms, to support decision makers under uncertainty. VUB team: Prof. dr. Ralf Vandam (AMGC), Prof. dr. Pieter Libin (FLAIR) Within the ARCHAI project, you will
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continuously learn through our VUB learning platforms and training courses; And finally: great colleagues with a healthy drive. 5 - Interested? Is this the job you’ve been dreaming of? Then apply
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genome analysis; You have a background in statistics, machine learning or data visualisation; You are familiar with Linux and high-performance computing environments; You have not performed any works
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spectroscopy Analysis of multimodal spectroscopic data using advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for
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sharing their knowledge and insights with students at Master’s level. Expertise in optical design and machine learning is a strong asset for this PhD position. You have not performed any works in the