138 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in Belgium
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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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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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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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contribution of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes
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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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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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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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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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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