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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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of the project, relevant experience in the analysis of ecological, geographic or climate data is a requirement. Knowledge of and interest in biodiversity and ecological processes is also mandatory
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experience in statistical analysis are also advantageous. The applicant should be able to work both independently and as part of a team. Proficiency in both spoken and written English is required. The ability
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function of retained trees for lichens will be evaluated. This will be done by field studies, analyses of already collected data, and a meta-analysis of published studies. By working at Kopparfors, the Ph D
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mining. Project description The knowledge of the mechanical behaviour of tailings is the background of all safety and risk analysis related to tailing dams independent of their construction methods. It is
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your application: Research experience from work with micro- and/or macroalgae, algae processing, algae quality, analytical chemistry/food analysis, volatile compound analysis. What you will do Take
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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background in molecular plant biology, experience in carbon-13 labelling and metabolic flux analysis. The successful candidate is expected to have good social skills and the ability to do research
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mechanical analysis, nanonindentation and atomic force mircroscopy will be used to characterize the mechanical properties of (doped) conjugated polymers. You will work closely with fellow PhD students and
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery