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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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) undergraduate honours students (ii) postgraduate HDR students (iii) early career researchers who are interested in continuing or developing academic links with Japan (Australian-based staff) and Australia
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applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as
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government partners. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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team meetings and oversee and train research assistants - Oversee regulatory activities such as IRB submission and reporting to funding organizations - Assist with data management - Analyze quantitative
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu