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imaging algorithms and working with different kinds of datasets. Aside from seismic imaging and inversion, it is essential that the student is interested in and has a strong aptitude for statistical
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and control. Strong knowledge of mathematics including differential algebraic equations, discrete systems, and probability theory and statistics. You enjoy performing research. You are independent, self
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with road safety / human factors Experience with data analysis (statistical analysis, machine learning, etc.) Applicants with MSc in human factors and with demonstrable data handling skills can also
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basic data analytics skills and knowledge of statistical methods ability to discuss, interrogate, and critically reflect ideas proficiency in English Nice to haves: basic knowledge of generative AI
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statistics into account. We will further improve those models by incorporating volumetric correlations, which are fetched from the physical baseline model, and by adding in-situ data from metrology sites
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an open mind to draw upon ideas and research methodologies from different disciplines. A strong interest in understanding and developing statistical and machine learning methods applied to human