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Field
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datasets spanning a range of model organisms (e.g. Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Daphnia magna, and others) and human cell lines. In addition, the role will involve the in
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model, and fostering an inclusive working culture Person Specification PHD (or near to completion) degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level
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experimental and analytical capability Ability to communicate complex information clearly Fluency in relevant modelling tools, techniques or methods and ability to contribute to developing new ones Ability
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laboratory chemical analysis of collected aerosol samples and combine field and laboratory data with advanced data techniques and models to understand the aerosol sources and processes. The successful
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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torsion apparatus under controlled conditions, and build new models of stress corrosion cracking under diagenetic conditions, quantified by the other team member. You will have a PhD in Geology or
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Spyrakos (evangelos.spyrakos@stir.ac.uk ) or Professor Peter Hunter (p.d.hunter@stir.ac.uk ) for further information about this position. Description of Duties The successful candidate will be expected
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Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range
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on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent
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on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent