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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
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practical experience in the implementation of machine vision systemsFluent in English, for both written and oral communicationEnthusiastic team playerOpenness to learn the basics of plant growth Welcome but
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practical experience in the implementation of machine vision systems Fluent in English, for both written and oral communication Enthusiastic team player Openness to learn the basics of plant growth Welcome
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
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learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based
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. Broad interest in hardware and software IT systems. Ability to quickly learn new technologies. Strong troubleshooting skills with a solution-oriented mindset. Creative thinker when faced with technical
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bringing innovative learning solutions to VIB. Your profile Bachelor's degree in event management, hospitality management, or equivalent through experience Excellent organizational skills and attention
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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scientific institute. Indefinite contract with a competitive salary and benefits package based on expertise and experience. Learning and development opportunities to broaden your expertise. Work location: at
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for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning