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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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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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(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