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path involves modelling and analysis of existing carbon storage data and information on forest management. Work duties The work involves data collection and analysis of samples from existing primary
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Experience4 - 10 Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå universitet stipendiemodulCountrySwedenCityUmeå Contact City Umeå Website https://www.umu.se STATUS
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/work-at-slu/ Read more about third-cycle courses and study programmes on https://www.slu.se/en/study/programmes-courses/doctoral-education/ Form of employment / Funding: Employment as a doctoral student
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who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu
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requirements for this position are: A Master’s degree in one of the areas mentioned above or another area relevant to the position. Experience of cultural analysis and work in collaborative projects, through
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
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assurance work Experience from hands-on mass spectrometry handling What you will do Being responsible for the maintenance and further development of a quantitative method for the analysis of SCFA in different
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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small-scale nitration trials under controlled and safe conditions, analyse the resulting NC with the centre's analysis package and quantify the relationship between feedstock and NC properties. The work