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concepts such as digital twins, learning from human interactions. In the domain of efficiency and sustainability, projects relate to a.o. the development of novel electrical machines, engineering of
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strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing, and computer graphics. You have good programming skills (e.g., Python, C
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to imec's activities, teach you everything you need to know to excel in your role. As timing is critical in our business, we are looking for people with strong logical and organizational skills, who
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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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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
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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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extraction to support discovery. Collaborate with researchers to identify opportunities where generative AI and LLMs can accelerate scientific progress. Work with the Head of the Machine Learning Expertise
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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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that combines machine learning and knowledge-based inference. In real-world applications, it is often paramount to exploit expert knowledge for the task at hand. However, this poses significant challenges with
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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