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science, statistical analysis, and mathematics. Experience with programming languages such as MATLAB and Python. Excellent analytical, problem-solving, and modeling skills. Strong written and verbal
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of survey research, from planning and ethics approval, through pilot work and data collection, to statistical data analysis and write-up. Qualitative research skills and experience are an advantage but not
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: Background in data science, statistics, psychiatric epidemiology, or related fields, with a relevant PhD degree (required). Experience in psychiatric disorder research (preferred). Experience with the analytic
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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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, the postdoc will collaborate with 2 PhD projects to develop tools to efficiently monitoring and quantify a range of ES’s associated with marine restoration projects. You will be working primarily with field
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
on Bayesian statistics and apply them in several real-world settings of important clinical relevance. The postdoc will be responsible for developing the area with a group consisting of a PhD student, a data
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at the department as well as international partners. It is expected that you can collaborate broadly with stakeholders in the design of scenarios and for management purposes. Applicants should hold a PhD in
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at DTU and will work closely with researchers from the Royal Danish Academy). Qualifications As a formal qualification, candidates must hold a PhD degree at the starting time of the PostDoc. Candidates
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developing multiple privacy preserving levels of access to the database. Our ideal candidate holds a PhD in neuroinformatics, data science or a related field, and has a keen interest in developing a research
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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