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unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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theory and practice. Experience in laboratory work and field work. Analytical skills and experience in statistical analysis. Strong written and oral communication skills in English. Ability to work
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econometric and data management (with statistical software like Stata, SAS, Python, or other relevant software). Ability to translate observed behavioral barriers into testable behavioral solutions. Interest
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, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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statistical methods for small hearables and their millimetre and sub-millimetre scale components. See More Jobs Page PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro - DTU Career Site