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Field
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such as X-ray diffraction (XRD) to characterize, at the molecular level, smectite samples from various Swedish mineral deposits. The PhD student will develop, apply, and combine theoretical molecular
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planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental
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diversity of methods across disciplines, from interviews and focus groups, a survey, ethnographic approaches, network and scenario analyses. The team also collaborates with major stakeholders to identify
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, clearly state if, and in that case how, you have used generative AI to write the documents. The highest ranked applicants will be asked to submit a work sample. The application must be written in English or
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surveys have been included Fluent in English, and with good oral and written communication skills (see below) Strong ability to work effectively both independently and in a team environment Merits
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methods (e.g. chamber-based gas flux measurements, soil sampling etc) Place of work: Umeå Forms for funding or employment: Employment as PhD student, full time for 4 years Starting date: During spring 2026
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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text when the applicant’s primary research text is co-authored. In other cases, a secondary research sample is voluntary. The secondary research text can be in English or Swedish. If the text is co
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samples from the publication list that engage with embodied and spatial practices, and/or gender or feminist theory. A short project idea outline of max. 2 pages which outlines suggested research questions