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Field
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methods to quantify the propagation of domain uncertainties in cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration
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) evaluating novel therapeutic strategies to prevent fibrotic formation in trabecular meshwork and (3) evaluating peptide and viral gene therapy methods in preventing retinal ganglion cell death in glaucoma
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equivalent experience. Knowledge of and interest in research at the intersection of ethnicity and health. Strong experience in qualitative research methods (including research ethics, interviewing, and
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and
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. By combining methods from human-computer interaction, clinical informatics, and artificial intelligence, we aim to create systems that enhance reasoning, surface relevant information at the bedside
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are seeking highly qualified applications to explore visual and LiDAR based navigation methods in the IDEAS lab (https://ouideas.github.io/). The expected responsibilities for this position are to assist with
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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explore their predictive potential for human toxicity assessment. This project fits overall within a larger overarching goal in our group of developing methods to relate genome to phenome across the tree