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single-cell RNA-seq data (specifically, on remote Linux-based computational clusters). The successful candidate will possess a good grasp of statistical analysis and complex data visualization, and
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undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative
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, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine learning, AI, or statistical modeling. Proven
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applying methods from quantum field theory, computational physics, statistics, and applied mathematics. Within astroparticle physics, our focus spans from the theoretical modeling of systems and phenomena
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(ImageStreamX MkII), acquiring data and developing novel analysis strategies. The project involves project management, laboratory work, data analysis and statistical processing, and manuscript writing. Where
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Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models
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. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
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of English is required, both in speech and writing. You should also have experience in handling viable blood cells and basic knowledge of scientific methodology and statistics. Furthermore, it is important to
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to improve the statistical power of detecting and defining molecularly distinct sub-groups in small patient cohorts, and to improve our understanding of disease mechanisms on a systems level. Read more at
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candidate will have a strong background in bioinformatics, statistics, and computational biology, with demonstrated expertise in statistical and bioinformatics software. The ability to thrive in a