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, statistics, or a related field. Strong experience with large language models, including pretraining, fine-tuning, prompt engineering, and evaluation. Knowledge of modern deep learning frameworks (e.g., PyTorch
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.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering, humanities, and medical training) are also
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communication channels. In addition, you will organize and coordinate scientific, networking and outreach events initiated by both Centers, fostering collaboration, engagement and knowledge exchange within
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, dynamics, and function of macromolecular complexes involved in health and disease. VIB combines excellence in fundamental research with exceptional opportunities for innovation and technology transfer
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at the heart of a renowned Plant Biotechnology campus in Ghent, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. For over a decade, the VIB Crop
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(ML) Engineer to join the Machine Learning Expertise Unit at VIB.AI. Your role As an ML Engineer, you will: Develop and deploy ML solutions in close collaboration with researchers across VIB centers
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across Ghent, Leuven, Antwerp and Brussels, we conduct pioneering research in molecular biology and biotechnology. By connecting scientific talent, cutting-edge technology and entrepreneurial thinking, we
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(ML) Engineer to join the Machine Learning Expertise Unit at VIB.AI. Your role As an ML Engineer, you will: Develop and deploy ML solutions in close collaboration with researchers across VIB centers
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profile You have: a Master degree in engineering, computer science, mathematics or a related field a strong background in machine learning and AI (deep learning, LLMs, computer vision) strong proficiency in
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innovations and the biological discoveries they enable Your profile You have: a PhD in engineering, computer science, mathematics or a related field a strong background and proven experience in machine learning