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development at Ames National Laboratory that address domestic supply-chain resilience. The role will pursue mechanisms, structure–property relationships, and phase evolution, associated with the discovery
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of splicing regulation using an array of state of the art biophysical, structural, molecular and chemical biology techniques, including single molecule analyses of splicing complexes as pioneered by
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of water and sediment samples from glacier fronts in Greenland. Analysis and interpretation of vibroseismic data from the interior of Greenland with a focus on water and sediment thicknesses. Construction
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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challenges during integration in the AIT construction hall and later at the telescope site. You work closely with local scientists to guarantee that the developed software meets or exceeds ESO’s scientific and
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a period of 2 years (extendable with 1 year); Access to cutting-edge computing infrastructure as well as motion capture scanning facilities. Structured support for your next career steps, whether in
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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the binding locations of various proteins within the nuclear pore complex (NPC), the locations of various transport pathways though the pore, and the structural and dynamic properties of the FG
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outer membrane protein biogenesis in the group of Prof Ben Berks FRS. Building on our recent work in this area (Nature (2015) 647: 479-487) you will carry out structure-function and molecular