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, collection and analysis of social media data, experience with R or Stata) is an advantage. For the assessment of personal suitability, we place particular emphasis on good interpersonal skills
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theoretical knowledge in e.g., neuroscience, cognitive science, psychology or equivalent. Experience of statistics, image analysis, and programming will be viewed favorably. The applicant must be able to work
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in biochemical and molecular biology techniques (e.g., protein purification). Hands-on experience in protein structure and function analysis (e.g., NMR, X-ray crystallography, cryo-EM) and/or
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protocols for data analysis, visualization, and interpretation. We also use and develop new cryo-electron microscopy techniques. The PhD student will be trained in a highly international environment with
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previous experience with e-graphs, or is familiar with theory and algorithms used by, for example, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers