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, electrical or robotics engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant
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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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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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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])