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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science
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semi-quantitative network methods (socio-technical configuration analysis, STCA), and contribute to the project's methods development compare cases across sectors and across high- and middle-income
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at international conferences are also expected from the successful candidate. The project encompasses process development, plasma analysis, and the synthesis and characterization of thin films. It focuses
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, ecological and social interdependencies) will be applied as basis for the analysis. Based on this, organisational and governance aspects of long-term urban drainage infrastructure maintenance will be described
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the project, you will conduct qualitative data gathering through interviews, focus groups, and photo elicitation med people living in digital exclusion. The work duties also include some data analysis and
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 3 days ago
theory and relevant research methodology - scientific analysis and presentation verified through an academic paper, degree project, scientific journals or the like. Admission and employment Once you have
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in scientific journals and presentations at international conferences are also expected from the successful candidate. The project encompasses process development, plasma analysis, and the synthesis
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or environmental monitoring; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative analyses, or environmental modelling
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relevant, field sampling or environmental monitoring; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and