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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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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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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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years. The successful candidate will have experience with cancer drug development, handling computational biology, proteomic and transcriptomic data, working with patient and animal-derived primary cell
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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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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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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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Promote equality and diversity, acting as a role model and contributing to an inclusive culture Person Specification First degree and normally a higher degree (e.g., MSc, PhD or near to completion) in a
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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