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Field
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human electrophysiology, with sensitivity and spatial resolution rivalling invasive metrics (i.e. electrodes placed in the brain). Testing of the new high-density device will be in both healthy control
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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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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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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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
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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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techniques in our laboratory, including population-scale epidemiology studies, digital pathology, genomic sequencing, and spatial transcriptomic and protein profiling. Our tissue profiling work encompasses