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associate to develop deep learning algorithms: 1) to model 3D protein complex structures and impact of mutations/PTMs on protein structure and interactions; and 2) to dissect functional elements (e.g
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NTO priorities or closely related work that can be translated into the NTO ecosystem. Contributing to use-inspired basic and applied research with a strong AI component, grounded in real-world education
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recycling. Insights gained will also be applied to the development of sustainable terrestrial biotechnologies addressing the plastic crisis, carbon revalorization, critical metal recovery, and circular
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to the work of the NTO. Further, this program is meant to produce use-inspired basic and applied research with a strong AI component, driven by real-world education applications. Faculty mentors are expected
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the plastic crisis, carbon revalorization, critical metal recovery, and circular bioeconomy approaches on Earth and in space. We are looking for an experienced scientist in bioengineering, molecular biology
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or closely related work that can be translated into the NTO ecosystem. Contributing to use-inspired basic and applied research with a strong AI component, grounded in real-world education applications. Faculty
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literature 15% Fieldwork: Lead seismic component of field work, roughly 5 weeks in the field over 3 field trips for each of two years; fieldwork prep time 15% Communicate results: Write scientific publication
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NTO priorities or closely related work that can be translated into the NTO ecosystem. Contributing to use-inspired basic and applied research with a strong AI component, grounded in real-world education