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/or Python) Ability to work effectively with data and applied statistics Knowledge of power systems or mathematical optimization is appreciated Ability to work in a project team and take responsibility
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management, visualization, and interpretation, including proficiency in statistical analysis What we offer in return DTU is a leading technical university globally recognized for the excellence of its research
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large datasets acquired under challenging conditions. This allows us to gain statistically relevant data and map out the influence of external parameters while working under relevant conditions. In situ
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, statistics, computer science, or a related discipline. We are looking for an ambitious, self-organized individual with strong project management and communication skills. Applicants should have experience in
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skills written and spoken Desirable experience and skills: Experience in teaching and supervising undergraduate and MSc students Experience in statistical analysis (for example Mixed-Effects models and/or
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working with behavioral and preference models, large-scale surveys, data management, and multivariate statistical analysis. The job The research will be carried out in the context of two projects, but
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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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, fostering a culture of trust and open communication. We expect you to be motivated to engage in teaching activities, as well as student (BSc & MSc) supervision. Responsibilities and qualifications As our new
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include: Create a digitalized platform for sustainable lifestyles, bringing together the individualized household data from Danish statistics on household consumption and spending, including energy
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preferred candidate shall have background / experience in the following areas: Solid Mechanics Crystal Plasticity Fracture Mechanics Statistics Programming experience in languages such as Fortran or Python As