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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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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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/or image processing Experience in protein expression and purification Knowledge of kinase signaling and regulation Evidence of research excellence, such as publications, conference presentations
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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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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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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