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for cryo-electron microscopy experiments Previous experience of using cryo-electron microscopes Previous experience in cryo-electron microscopy data analysis and model building with a track record of
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evolution, Illumina sequencing, data analysis and machine learning and structural biology methods such as X-ray crystallography and CryoEM. Track record of research: This will include achievements, and
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or tomography), protein expression/purification and biophysical methods. Particularly useful would be experience working with RNA. Track record of research : This will include achievements, and contributions
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relevant to the project. Particularly useful would be experience of coding and either molecular dynamics, computational chemistry or machine learning. Track record of research: This will include
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.). • Experience with computational tools such as Python and MATLAB (having used these tools is great, having built with them is even better). Track record of research: You can present evidence of successfully
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quality control. • An interest in protein phosphorylation. • An interest in enzymology and small molecule inhibitors. Track record of research: This will include achievements, and contributions to published
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.). • Experience with computational tools such as Python and MATLAB (having used these tools is great, having built with them is even better). Track record of research: You can present evidence of successfully
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. Track record of research: You can present evidence of successfully executing research or tool development projects independently or evidence of contributing to the success of such projects. This evidence
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must be best attested by at least one impactful publication. Interests in aging and neurological diseases is desirable. Track record of research: This will include achievements, and contributions
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. Experience with in vitro reconstitution methods, especially as they relate to membrane proteins. Track record of research: This will include achievements, and contributions to published papers. Other relevant