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palaces. We will achieve this via a multidisciplinary survey of a wide range of organic materials and objects of faunal and floral origins. In order to reconstruct the workflows of how these organic objects
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to work on selective spectral microscopic imaging (SSMI) for in-situ sensing applications. Many emerging applications, including microplastic detection, food safety, bioimaging, and materials analysis
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), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct research on predefined topics contributing to SnT's and
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to conduct research on the interaction between large language models, automated science, and innovation. In this context, large language models can serve both as a tool within the research and as the object
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in mechatronic hardware and software You have a solid foundation in probability and statistics for Bayesian modelling, uncertainty quantification, and causal inference You have a team player mindset, a
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or more of the following: ecological modelling, dynamical systems, network analysis, Bayesian statistics or probabilistic modelling, mathematical biology, multivariate data analysis. Interest in connecting
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in mechatronic hardware and software You have a solid foundation in probability and statistics for Bayesian modelling, uncertainty quantification, and causal inference You have a team player mindset, a
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deep experience with PyTorch, JAX, or TensorFlow. Broad knowledge of modern ML and optimization (gradient‑based, evolutionary, Bayesian, reinforcement learning). Hands‑on experience with generative
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for object-centric processes using MDE. The foundations of the project have been published in a prior paper, see https://link.springer.com/article/10.1007/s10270-024-01191-z . Given the international research
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. At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are 100% their authentic selves. With some 4,000 employees, we are the largest Dutch-speaking