56 modelling-complexity-geocomputation Fellowship positions at University of Birmingham
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2024, Nature) and will integrate modelling methane exchange in upland trees with the LPJ-GUESS dynamic global vegetation model to identify past, current and future changes in this new-found methane sink
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Licence (or equivalent in home country) Experience of using in vivo mouse models to assess immune responses High level analytical capability Ability to communicate complex information clearly Ability
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imaging and immunological datasets Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess
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Obstructive Pulmonary Disease (COPD). This position offers an exciting opportunity to contribute to impactful applied health research and influence future models of care for people living with COPD. The post
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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becoming standard practice. However, achieving formal assurance of software correctness remains a complex challenge. Seminal work in programming language semantics provides powerful frameworks
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healthy resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin
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funding Contribute to public understanding of issues impacting families and children with complex and interconnected needs Main Duties The responsibilities may include some but not all
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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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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded