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laboratory work and field work. Analytical skills and experience in statistical analysis. Strong written and oral communication skills in English. Ability to work independently and be flexible. Ability
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negative externalities of transport. The division is interdisciplinary with scholars from transportation engineering, economics, psychology, computer science, machine learning, mathematics, and statistics
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this project you will learn and develop experimental and statistical methods for small hearables and their millimetre and sub-millimetre scale components. Page PhD scholarship in Machine Learning in IoT Edge
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psychology, or related topics. Background in behavioral economics and experience with conducting behavioral economics experiments. Good skills in econometric and data management (with statistical software like
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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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surface structure of single nanoparticles by integrating atomic-scale simulations, statistical methods, and TEM imaging. Exploring the use of Bayesian statistics to understand experimental data and improve
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and using mathematical and statistical models on marine resources. The scholarship is part of a project financed by the EHFAF program. The project will be carried out at DTU Aqua in collaboration
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cytometry. Preclinical cancer models to determine T cell therapy efficacy, in vitro and in vivo. Apply analytical and statistical tools to identify patterns in large datasets. The candidate should demonstrate
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unique and internationally recognized academic department with 433 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive