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to work with tasks outlined above, she/he is expected to establish own initiatives to move the PhD project forward and to work well in a team. Advanced knowledge related to statistical analyses will be
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. Advanced knowledge related to statistical analyses, an understanding about the Swedish food system and about behavioral approaches will be of merit. Personal merits will play a significant role in the
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, statistics, applied mathematics, agronomy, or related fields. Written and oral proficiency in English is required. Interest and previous experience in developing mechanistic models coupling plants
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how to use various statistical software applications for data analysis is required. Experience working with plants under field and greenhouse conditions, preferably including crossbreeding, is needed
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the forestry sector is also considered a merit. The following competencies will be considered in the selection process: Experience in field studies and inventory Experience in data management and statistical
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the project's field studies. The following qualifications/competences will be taken into account during selection: Field studies and inventory Data management and statistical analyses Write scientific text
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, in order to carry out the project's field studies. The following qualifications/competences will be taken into account during selection: Field studies and inventory Data management and statistical
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experiences of: quantitative methods, e.g., interviews and participant observations, quantitative methods, including statistical analysis techniques, and scientific research project work. Place of work Uppsala