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within DanSIC and CIMP. Collaborate with internal and external researchers to design experiments and analyze complex datasets. Perform statistical analyses and data visualization to interpret and publish
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-scale data management and statistical analysis. Knowledge or interest in education policy and school choice systems is highly desirable. Strong quantitative skills, excellent programming abilities, and
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(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
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(programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following requirements: PhD degree in psychology, cognitive (neuro)science
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, supported by a good understanding of urban water systems, water quality, environmental chemistry and statistics. You should have experience in the development and application of water quality models, with
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clinical psychology, psychiatry, mathematical modelling and statistics, led by Associate Professor Maria Semkovska in a collaboration between the Department of Psychology, Odense University Hospital and the
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Scandinavia (SALiCCS) and Statistics Denmark. The focus of the research project will be to assess the risk of pregnancy and delivery complications, including preterm birth and caesarean section, among female
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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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observational data on public service quality Integrate multiple data sources to create comprehensive datasets Conduct quantitative analyses using advanced statistical methods Collaboration and Dissemination: Work