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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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surveillance systems. To achieve this goal, we are looking for an enthusiastic PhD researcher who will focus on bringing face-swapping algorithms to off-the-shelf embedded platforms. The work will involve
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experience in Python and, more specifically, in common deep learning frameworks such as PyTorch and jax, for model training and inference have experience with embedded platforms such as FPGAs or RISC-V
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will complete the doctoral programme of KU Leuven, embedded both in the Department of Social and Cultural Anthropology and the Faculty of Theology and Religious Studies and with a co-supervision at the
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will inform provincial guidelines and extension programmes, enabling scale-up beyond pilot sites. By embedding predictive modelling, antimicrobial surface strategies, and processing standardization
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, process, and lifecycle information must be embedded within DPPs to enable automatic or semi‑automatic generation of DWIs, real‑time, context‑aware guidance via AR and VR interfaces, and bidirectional
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outcome through multimodal analysis. The PhD activities are closely embedded within the Centre for Developmental Disorders (COS) and University Hospitals Leuven (neonatology unit and pediatric ophthalmology
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EU programme Reference Number BAP-2026-440 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is embedded in HSFood4ALL (Healthy and
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embedded in a team with extensive expertise in AI and machine learning for computational biology and chemo-informatics. This will provide the opportunity to design novel machine learning approaches