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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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ideal for a researcher with a strong background in survey methodology, experimental design, and statistical analysis who is interested in business power, self-regulation, and public opinion in
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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in international congresses. Lead multi-country research projects, particularly within pharmacoepidemiology. Lead the development of statistical analysis plans and the writing of scientific reports
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of metabarcoding data, plant metabolomics or transcriptomics, multivariate statistical analyses or soil microbiology Further, we will prefer candidates with some of the following qualifications: Teaching and
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of metabarcoding data, plant metabolomics or transcriptomics, multivariate statistical analyses or soil microbiology Further, we will prefer candidates with some of the following qualifications: Teaching and
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experience Skills within statistical analysis Communication skills both in oral and written English and preferably also in Spanish Flexibility and self-motivation are desired skills at DTU We expect you to be
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equivalent), preferably within civil and environmental engineering, statistics, industrial ecology or data science with a passion for sustainability. We welcome candidates with postdoctoral experience
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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/cognition-and-clinical-neuropsychology/ , at the Department of Psychology, University of Copenhagen. Qualification requirements The candidate must have obtained a PhD degree in mathematics, statistics