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Field
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biology to better understand mechanisms of treatment resistance and identify new therapeutic targets. To achieve this, we apply state-of-the-art technologies for molecular tumor analysis using both solid
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applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge
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duties, up to a maximum of 20 per cent of full-time. Within the division several different research areas are represented. In particular we have a group in Potential Theory and Analysis on Metric Spaces
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projects. The research is of international quality, and we collaborate with researchers around the world. Within the area of Energy system analysis, the research is targeted at the transition to a
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studies ranging from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research
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with expertise in experimental neuroscience, behavioral studies, and data analysis. The position is linked to a research project investigating how humans acquire new motor and cognitive skills and how
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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characterization, quantitative image analysis, and assessment of treatment response. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships
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and trends, quantitative analysis, pharmacological effects, and the identification of biomarkers of intoxication and cause of death. The work will involve analysis of clinical and forensic samples using
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regions. Implementation methods will include: Seasonal sampling of food web components, from primary producers to fish, during open-water (summer) and under-ice (winter) conditions. Analysis of biomarkers