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Field
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data. You will work in an interdisciplinary research environment, where there is expertise in occupational and environmental medicine, epidemiological-, statistical-, and dispersion modelling, and also
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models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic interpretability and
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dynamics) processes influencing energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab
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to follow the corresponding chemical reaction, 2) rheology to follow the change in mechanical properties (elastic modulus and yield stress) and 3) video imaging to characterize the foam structure (statistics
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, and attentional lapses, alongside extreme weather. Additionally, according to statistics from a manufacturing company, 40% of wind turbine errors are due to human error. Working long hours in harsh
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experimental methods and techniques to study and characterize sound and vibration on the millimetre and sub-millimetre scale as well as statistical methods to evaluate metrological aspects such as
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fundamental and applied challenges. Project details FCS brings together almost 60 leading applied mathematicians, statistical physicists, experimentalists, theoreticians, and specialists in scientific computing
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position in the field of Machine learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent
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sciences, hydrology, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required. Interest and previous experience in developing mechanistic models
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics, within