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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
computational chemistry to MFMs is that, even for "rigid" MFMs, especially when functionalized, their structures are disordered due to the random orientation of linkers. Such structural disorder and flexibility
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discovered the first CYP3A5-selective inhibitor and its structural basis (J Am Chem Soc 143:18467, 2021). Our goal is to understand nuclear receptor-regulated transcription networks, enzyme-drug interactions
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: Possible research topics involve developing and using advanced electronic structure, quantum dynamics and enhanced sampling methods to study photochemical reactions in biomolecules. The successful candidate
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. Areas of application include lithium-ion batteries, high-salinity water treatment, and separations. The researcher will employ molecular dynamics (MD) and quantum mechanical (QM) methods to develop and
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‐produced BAs undergo a variety of microbial-driven modifications that diversify their chemical structures and biological functions. These alterations are sensed by the host, which in turn regulate BA
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a Ph.D. candidate whom you will be co-supervising and another postdoc with expertise in experimental set-up design and construction as well as fluid dynamics, as well as with other post-docs and
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dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters
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techniques with bulk rheology. Work duties The candidate will study the role of the softness of an individual colloid on the structuring and macroscopic properties of a suspension under flow both in bulk and
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters