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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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interpret multi-modal data (e.g., omics, images, etc.). The ideal candidate has the following skills PhD or MSc in computational biology, statistics, mathematics, computer science or related topics Advanced
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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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, epidemiology, public health, or a closely related field. Experience in field epidemiology, data collection, management, and statistical analysis. Proficiency in statistical software (e.g., R, GIS, Python) and
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, Statistics, or a related field, and with the interest and ambition to carry out a PhD study within the transport science domain. The successful applicant will work on research focused on the fleet replacement
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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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analysis Experience with next and third generation sequencing data quality control Experience with data management, visualization, and interpretation, including proficiency in statistical analysis Experience
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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