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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity
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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability, these models will also be optimized to run efficiently on edge hardware
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, machine learning) for energy applications, mostly focusing on reinforcement learning (RL), where you will consider innovative extensions (e.g., new neural network architectures) of state-of-the-art
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design). Good understanding of heterogeneous system architectures, from their memory management to their microarchitecture. Good understanding of machine learning techniques, and their impact on
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. Processing and analysing spectroscopic data using machine learning algorithms. Your primary workplace will be the VUB campus in Etterbeek, with occasional activities at the Brussels Photonics Campus in
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12 Nov 2025 Job Information Organisation/Company Vrije Universiteit Brussel (VUB) Research Field Computer science » Other Engineering » Computer engineering Engineering » Electrical engineering
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are now looking for an Large Language Model (LLM) engineer to join the Machine Learning Expertise Unit at VIB.AI. Your role As an LLM Engineer, you will: Develop and deploy pilot projects in close