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Skip to main content. Profile Sign Out View More Jobs Research Assistant: register data from Statistics Denmark - DTU Management Kgs. Lyngby, Denmark Job Description The Division for Climate and
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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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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
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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
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. Supervise statistics collection and support our data tracking. Track and keep updated public information on our programs in relevant channels. Handle evaluations of our programmes. Assist the rest of the team
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for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive
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these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks
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.) for optimal operation using e.g. model predictive control. You will use stochastic and statistical modelling concepts together with domain-knowledge to develop such models. Afterwards, the models are used in
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background in statistics and behavioural economics. Your primary tasks will be to: Design workflows for quantitative societal sustainability assessment of low Technology Readiness Level (TRL) biotechnology
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languages (eg, R, Python), implement statistical associative models (eg, GLMM), as well as experienced in simulation development (eg, multi-agent based models). You will also work with stakeholder engagement