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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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document experiments in an Electronic Lab Notebook (ELN) Optional knowledge Golden Gate vector cloning Analysis of CRISPR/Cas9 edited plants Experience working with cereals (maize, wheat) Working with
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document experiments in an Electronic Lab Notebook (ELN) Optional knowledge Golden Gate vector cloning Analysis of CRISPR/Cas9 edited plants Experience working with cereals (maize, wheat) Working with
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goals, past experience, and how these relate to the current position.Your CV.Contact information of three references. Application deadline: August 31st 2026. For further information, please send an email
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an email to [email protected], [email protected] or [email protected] with subject title Inquiry: ML Engineer.
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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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for an interview. For further information and questions, please send an email to Dr. Annerieke Sierksma ([email protected])