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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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, 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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, 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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group led by Prof. Yves Van de Peer, in close collaboration with the UGent Phycology Research Group led by Prof. Olivier De Clerck. Together, these groups combine world-leading expertise in genome
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group led by Prof. Yves Van de Peer, in close collaboration with the UGent Phycology Research Group led by Prof. Olivier De Clerck. Together, these groups combine world-leading expertise in genome
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, TensorFlow) Mindset Curious, self-motivated, and eager to learn across disciplines. Comfortable working at the interface of wet lab and computation. Collaborative team player with strong communication skills