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-resolution single molecule localization microscopy for biomolecular research Experience from work with cellular sample preparation for single-molecule studies Experience with statistical analysis methods
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, for example, different types of statutory leave of absence. The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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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
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transparent models. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep