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high-quality standards Confidence in the use of statistical modeling techniques and software (R or MPlus). This includes methods like panel data analysis, hierarchical models, spatial analysis
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or the willingness to acquire this at the beginning of the position Good statistical and methodological skills; experience in independently analysing empirical data (e.g. with R, Python or Mplus
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statistical as well as communication skills are required. Working environment Apart from working closely with group members at the Kiel Institute, the successful candidate will liaise with external partners and
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-) ecology and zoology (preferably invertebrates or fish) Advanced skills in statistical analyses, preferably using R Strong track record of international publications Excellent written and oral
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theme of agriculture. Examples are Agricultural Science, Agricultural Economics, Statistics, Geoscience or related fields with a quantitative, empirical orientation and fundamental parts of agriculture
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the time of appointment Research expertise in linguistics, psycholinguistics, and/or clinical linguistics Strong theoretical background Strong statistical skills including descriptive and inferential
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knowledge of plant physiology, especially in phytohormone signaling and/or plant nutrition. Skills in statistics and the use of R are beneficial. You fit to us: If you are able to work collaboratively
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models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis
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systems with static models work with innovative pilot studies in Brandenburg (on-farm, on-station, farm networks) statistical analysis of experiments to evaluate the performance and agronomic limitations
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analyses, including 3D digital segmentation, digital measurement techniques, and geometric morphometrics Experience with statistical and phylogenetic comparative methods in R Proven ability to publish high