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Field
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, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
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engineering physics, electrical engineering, data analysis, computer science, applied mathematics or in a similar field, or have completed at least 240 credits in higher education, with at least 60 credits at
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numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader
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of habitat diversity in agricultural environments as a proxy for potential biodiversity. You will plan and conduct field measurements and perform data analysis in a large interdisciplinary project group
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analyses and document analysis. Depending on the sub-projects chosen, the research may also combine interviews with quantitative analysis. The doctoral student will become part of a leading research
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reconstruction, volumetric analysis, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and
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project will focus on applied economic analysis of agriculture’s uptake of more sustainable production practices and practices to improve preparedness and resilience. The project will be predominantly based
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developmental biology and physiology using imaging, image analysis, lineage tracing, and water stress experiments. Work includes greenhouse tree studies and Arabidopsis experiments in climate-controlled chambers
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Subject area: Applied economics Description of the doctoral project The research area is agricultural and food economics. This PhD project will focus on applied economic analysis of agriculture’s
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imaging, image analysis, lineage tracing, and water stress experiments. Work includes greenhouse tree studies and Arabidopsis experiments in climate-controlled chambers, aiming for an integrated