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about being a Lund University employee Work at Lund University . Work duties and areas of responsibility The candidate will conduct studies on solid tumors using advanced mouse models and human research
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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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, research vessels, and marine modelling resources. In addition, the BSC plays a coordinating role with SU for activities conducted at the Centre for Coastal Ecosystem and Climate Change Research (CoastClim
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rate, and virtually nothing is known about a putative connection between these mutation rates. Using several Drosophila melanogaster model systems, in combination with quantitative genetics, experimental
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analysis or predictive modeling of pathogen biology or host-microbe systems for which multidimensional, genome scale experimental data are now available, or it may use population scale genetic, clinical
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Associate Professor Åsa Johansson at Uppsala University, Department of Immunology, Genetics and Pathology. The group focuses on identifying risk factors for common diseases and developing models for risk
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this PhD project we will map the lipid and protein expression profiles of the endosomal pathway to enable engineering of improved LNPs and disease specific endosome models for LNP screening. The project is
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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competence, and a results-oriented and proactive attitude. Meritorious for the position are: Previous research related to CMDs, longitudinal data modelling, human genetics. Assessment Criteria and Selection In
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well as modelling strategies to answer fundamental biology issues with advanced light microscopy data. The lab’s research scope ranges from reinforcement learning for drug design, interpretable ML pipelines