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dynamics to cellular metabolism. The student will receive broad training in cell culture, genome engineering, live-cell imaging, biochemical assays, proteomics, and computational data analysis, and will work
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used to build neural networks using light transmission for connections and interpretation of electrical signals for memory and signal analysis. It will also include the design of nanophotonic elements
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analysis, and the development of social science theory and methods. For further questions: For project- or research-related matters, please contact David Sausdal (david.sausdal@soc.lu.se). For administrative
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analysis as well as bioinformatic analysis of microbial communities. Qualifications: The candidate should hold an MSc degree in biology, ecology, microbiology, plant pathology, or a related subject
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molecular simulations. Previous hands-on experience in more than one of the following methods is considered an advantage: molecular simulations, Python programming, machine learning, or quantitative analysis
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, or enrichment and biomarker analysis of extracellular vesicles in blood samples. More about our research group - bme.lth.se Work duties The work tasks are primarily to assist the research group in their research
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and field conditions. The practical work also includes culturing oomycetes and plants, sampling for molecular and microbiome analysis as well as bioinformatic analysis of microbial communities
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following areas - medicine, biology, microbiology, and experience with registry-based research, clinical sample analysis, translational models, orthopaedics, or biomaterials - will be considered an advantage
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biomaterials/antimicrobial peptides, experimental infection models, or clinical sample analysis - will be considered a particular advantage. LanguagesENGLISHLevelExcellent Research FieldBiological
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, Scientific image or microscopy data analysis. You should possess excellent analytical skills, a genuine interest in interdisciplinary research, and the ability to work both independently and as part of a team