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forest biomaterials play a key role. Lindroos’ research group develops advanced methods and technologies to make forest operations more efficient, sustainable and data-driven, with work ranging from
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English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods
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) for the intended dissertation project, including: Problem formulation, purpose, and research questions Previous research and contribution to the research front Theoretical framework Research strategy, method, and
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that resonate with diverse audiences, using participatory human-centered methods. Supporting policymakers in designing strategies that combine technical and scientific robustness with democratic accessibility
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subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods
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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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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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is led by Johan Malmström, whose goal is to develop methods within proteomics to promote the implementation of precision medicine in sepsis. The group consists of senior researchers, postdocs, and PhD
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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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