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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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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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doctorate or a foreign qualification deemed to be the equivalent of a doctorate in quantitative epidemiology and public health with a strong component of statistics, mathematics is eligible for appointment as
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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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for federated learning, mathematical statistics, edge AI, etc., is desirable. Application A full application should include: Personal letter that clarifies how your background meets the needs and expectations
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advanced epidemiological / statistical methods (e.g., causal inference methods, multilevel and mediation modelling, longitudinal modeling) Documented experience in using R or STATA for data management and
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organizations, or similar circumstances. The applicant is required to have a Ph.D. degree in a relevant area and expertise in quantitative research design and statistical analysis, preferably in the field
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method, and statistical analysis. Particularly meritorious is documented competence and experience in functional brain imaging, preferably fMRI. Meritorious is documented ability to work in a team and
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is deemed equivalent) in Computer Science, Mathematics, Statistics, Bioinformatics, or a related subject of relevance for the project. You should be highly motivated and able to work productively in a
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physics/engineering, computer science, physics, statistics, mathematics, or related fields is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than