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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and numerical algorithms from linear algebra, statistics, optimization, machine learning, and AI, applying them to advance technology in fields like industrial automation, speech processing, digital
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or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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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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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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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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have transformative potential across these research areas. We are now looking for an LLM Engineer in a shared position between VIB.AI's Machine Learning Expertise Unit and the Center for Neuroscience
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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