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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
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competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems) and Automation and Logistics. Read
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future product owners and users is a key factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards
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factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards a Doctoral degree as the final goal
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working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the
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on some part of this arena, using research approaches that could include for example textual/discourse analysis, interviews, participant observation and co-creative methods. The exact design of the project