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Disease Center, Advanced Medical Imaging Technology Institute, Medical Chip Research Institute, Clinical Research Center, and Medical Robotics Institute, among others. Leading with solid research
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with the Department of Medical and Translational Biology and the Department of Statistics at Umeå University, as well as Umeå Center for Functional Brain Imaging (UFBI). The research environment conducts
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methodologies Experience of advanced multi-parameter flow cytometry, cell imaging and data analysis Experience in statistical methodologies Excellent written and verbal communication skills Publications in peer
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and in combination with existing antifungal drugs. Areas of interest are: development of in vivo imaging assays for understanding efficacy of novel antifungal drugs, determination of resistance
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. Interest in clinical algorithm development and dexterity with biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serially obtained somatic and
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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translated complex AI concepts for a non-specialist audience and indicate the outcome (policy change, prototype, engagement metrics, etc.). (Within the word limit, you may add a closing sentence indicating how
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of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis. Developing statistical models and code to run the proposed methods. Developing and running simulation-based
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biology (cryo-EM, X-ray crystallography, NMR), chemistry, biophysics, cellular imaging, etc. and the lab also has expertise and equipment for mass spectrometry including Bruker timsTOF (HT/Ultra) and
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions