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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations
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paediatric AML, by employing an integrated molecular approach encompassing RNA-seq, ChiP-seq and mouse modelling coupled with gene silencing technology. The post is based in the Faculty of Health and Medical
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development and implications in neurodevelopmental disorders. Using Drosophila , mouse models, and human brain organoids, our work is at the forefront of neuroscience research, with recent publications in PNAS
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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental
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Environmental Engineering, and will have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis
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an integrated molecular approach encompassing RNA-seq, ChiP-seq and mouse modelling coupled with gene silencing technology. The post is based in the Faculty of Health and Medical Science , School of Biosciences
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researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group
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, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally and externally. Some
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role will focus on nanophotonics theory and modelling. Key Responsibilities: The Research Fellow will work on a project to conduct the research on development of nanophotonic structures for quantum and