115 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Belgium
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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teacher education. Using Teach for All as a case-study, the project aims to better understand how and why education polices travel across time and space. While policy mobility is driven by a wide range of
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de Geus (UCL-PA&Health) prof. dr. Kobe Boussauw (VUB-Cosmopolis) prof. dr. Geert Te Boveldt (VUB-Mobilise) Postdoctoral researchers: dr. Eva Van Eenoo (VUB-Cosmopolis) dr. Sara Tori (VUB-Mobilise
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) device is under development in collaboration with Université catholique de Louvain (UCL). In general, the PhD topic is targeting the development of a systematic dataset of thermal conductivity evolution in
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12 Nov 2025 Job Information Organisation/Company Université Catholique de Louvain (UCL) Department Earth and Life Institute Research Field Agricultural sciences » Soil science Agricultural sciences
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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industrial Ph.D. position focused on developing scalable, Machine Learning (ML) pipelines for genomic and epigenomic biomarker discovery from Oxford Nanopore Technologies (ONT) long-read sequencing data
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10 Nov 2025 Job Information Organisation/Company Université Catholique de Louvain (UCL) Research Field Geography » Other Biological sciences » Other Medical sciences » Epidemiology Researcher
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breakthroughs in proof logging, where solvers do not just output an answer, but also a machine-verifiable proof (or certificate) of correctness. However, a major limitation of current techniques is that
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contribute 1) to the analysis methods and metrics for understanding the complex interactions between forage resource and dynamics; 2) to develop Machine Learning methods for analysing sensor data on animal