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with the research group, you will primarily work with planning and carrying out research within the project, with an emphasis on data collection, analysis, and reporting of results. Both qualitative and quantitative
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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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different molecular libraries to examine their effect on the function of regulatory RNAs. Positive hits will then be further analyzed using in vitro translation, DMS MapSeq structural analysis, and other
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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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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, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers, or similar. Familiarity with linear algebra libraries and high-performance computing
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models. Development of research tools and software for data analysis, successful patents or attempts to commercialize translational research. As the applicant may have experience in research and
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host