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MapPlan. Furthermore, the applicant is required to have vast experience with advanced statistical analyses, including longitudinal data and linking between survey and register data. Finally, the applicant
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Aarhus University, Department of Mathematics Position ID: MATHAU-STAT [#27767] Position Title: Position Type: Other Position Location: Aarhus, 8000, Denmark [map ] Subject Area: Statistics Appl
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are looking for a candidate with strong analytical skills and broad ecological experience. The ideal applicant will have: A strong foundation in quantitative ecology and applied statistics, including use
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joint project with the pathology at OUH. Here, the student shall develop statistical and machine learning approaches to identify potential cancer on whole slide scans. The student contributes
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
the Data Science and Statistics section, and who can contribute to the department’s strategic development in data science, artificial intelligence, and related topics. We are particularly, but not
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into genebank operations Experience with appropriate statistical analysis, especially generalized linear modelling Who we are At the Department of Agroecology, our main goal is to contribute to sustainable
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. Strong Competences in study design and data analysis, including multivariate data analysis utilizing advanced statistical analysis tools Proven publication record in international peer-reviewed journals
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) Experience with advanced statistical modelling (esp. random effects) is a plus. How to apply Please apply by uploading a short motivational letter (1/2 page) and a CV (in English) through the apply button at
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into genebank operations Experience with appropriate statistical analysis, especially generalized linear modelling Who we are At the Department of Agroecology, our main goal is to contribute to sustainable
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and applied statistics, including use of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological