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environmental DNA (eDNA) as a tool for early detection of forest pathogens. In this project, you will have the opportunity to combine molecular biological methods with field studies and data analysis to
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Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en
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environment spanning soft matter physics, structural biology, nanomedicine, and advanced data analysis. The fellowship is funded through the prestigious AMBER Marie Skłodowska-Curie COFUND programme
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droplet-based single-cell profiling techniques will be an advantage. Applicants having demonstrated skills in proteomics, fluorescence-activated cell sorting, flow cytometry data analysis, or computational
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transcripts. If the applicant is a foreign citizen, SLU requires a certified copy of the passport page disclosing personal data and photograph. Union representatives: https://internt.slu.se/en/my
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the International Tundra Experiment (ITEX) database, and integrating these with plant trait and ecosystem-function data. The postdoctor will use advanced statistical approaches, including hierarchical
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perspectives, the University contributes to a better future. The Department of Marine Sciences, University of Gothenburg ( https://www.gu.se/en/marinavetenskaper ) combines extensive scientific competence
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continued good growth in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom
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-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by
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candidates. Data collection, analysis, and evaluation of implementation processes constitute central parts of the work and include the development and administration of surveys, conducting interviews