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Field
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in Quantitative Eco-Epidemiology (Plague) Apply for this job See advertisement About the position Postdoctoral Research Fellow in spatial and computational disease ecology and epidemiology, focusing
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high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate stem cell biology using multi-omics approaches, including RNA
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cultural diversity and urban public space. The fellow will support the implementation of research activities across three main themes: 1. Urban Landscape Mapping – assisting in the collection and spatial
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candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable working with large datasets, including spatial
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various data types such as whole-genome sequencing (WGS), whole-exome sequencing (WES), RNA sequencing, spatial data, etc, and will also include rich clinical annotation to explore the clinical implications
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the simulation and design of optical systems for spatial and temporal optical beam shaping. Demonstrated expertise in programming, especially C++, python, and/or Matlab. Ability to work both independently and as a
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scintillator films (optimizing formulation, deposition, optical management, and scalable, repeatable processes) to meet target light yield, decay, spatial resolution, and stability requirements. Lead and assist
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within the Solar Group in ARC involving the analysis and interpretation of high spatial and temporal resolution spectropolarimetric observations of the Sun's atmosphere. The Group makes extensive use of a
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future electricity systems, with a particular focus on Norway within an interconnected European context, including crosscountry comparisons and spatial co-benefits and trade-offs. Please contact
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with