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Skip to main content. Profile Sign Out View More Jobs Research Assistant in statistical analysis of hybrid work data sets - DTU Engineering Technology Ballerup, Denmark Job Description The Research
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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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disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions
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countries. The ranking is based on recognized EU data sources such as CORDIS and Erasmus+ as well as publication and citation statistics based on the Scopus database, and patent statistics from the European
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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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with a range of multi-omics data types and associated bioinformatic algorithms/statistics. Familiarity with methods for computational modeling of metabolism (constraint-based, kinetic modeling, etc
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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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beyond. Hence, we seek a proactive candidate with a strong background in statistics and economics. Your primary tasks will be to: Design workflows for quantitative societal sustainability assessment of low