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may facilitate eligibility for certain competitive funding opportunities. Relevant experience (e.g., molecular biology, cellular physiology, neuroscience, animal behavior, computational methods, etc
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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computational design tools to engineer novel membrane proteins, then validate these designs experimentally, with the goal of integrating them into functional devices at the biology–electronics interface. Research
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computational design tools to engineer novel membrane proteins, then validate these designs experimentally, with the goal of integrating them into functional devices at the biology–electronics interface. Research
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Network bringing together leading groups in structural biology, chemical biology, computational biology, drug discovery, and cell biology. Doctoral candidates will benefit from: International secondments
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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