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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The department of Economics at Umeå School of Business, Economics and Statistics is looking for a post-doctoral
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics seeks up to two postdoctoral researchers who will
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of the results. To achieve this, you will need, among other things, expertise in advanced statistical methods and handling of complex and extensive datasets. The work includes data from medical records and the
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following: fieldwork in terrestrial ecosystems, DNA metabarcoding, and advanced statistical methods in community ecology. Excellent written and verbal communication skills, ability to conceive, execute and
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largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts
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necessary knowledge on cancer etiology and to maintain a high level of statistical and machine learning competence with focus on image analysis. What do we offer? Choose to work at KI-Ten reasons why Career
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qualities Requirements: The applicant must have a master’s degree in biomedical or health sciences: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a
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large databases and patient registries as well as significant knowledge of different statistical analysis methods including R, STATA and/or SAS. Proficiency with SQL software will be beneficial. Previous
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regression modeling of survival data, as the project involves development of statistical methodology. Good programming skills in Stata, SAS or R is an advantage. Additional requirements: Excellent
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longitudinal data is considered a particular advantage, as is experience of carrying out analyses using the statistics software Mplus and SPSS. You are expected to have a good ability to communicate in English