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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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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
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in laboratory analyses of biota, sediment samples, etc. Statistical analysis & methods. Innovative approach: A strong commitment to innovative research, both in advancing scientific knowledge and in
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Skip to main content. Profile Sign Out View More Jobs Postdoc in Operations Research: Advanced Solution Methods for Stochastic Optimization – DTU Management Kgs. Lyngby, Denmark Be the First to Apply Job Description The Department of Technology, Management and Economics at DTU invites...
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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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, experimental psychology, audiology, cognitive science, physics, electrical engineering, or a similarly relevant discipline. Experience with signal processing and quantitative methods (statistics or machine
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, complex question several research approaches may be used in various combinations, e.g., statistical, and process-based plant diversity and vegetation modelling, remote sensing, meta-analyses, existing
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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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genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data related to insect breeding and experience in developing insect breeding strategy. Experience
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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