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for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming
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will support a multi-method, multi phased study to use appreciative inquiry for co-production of culturally appropriate interventions and equity informed perinatal mental health and psychosocial
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and molecular mechanisms regulating human fetal choroid plexus development and its role in early brain development using state-of-the-art single-cell genomics and multi-omics approaches. This exciting
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development of simulation models for coastal infrastructure, such as seawalls and dikes. Key Responsibilities: Develop simulation models. Conduct laboratory-scale tests. Validate the models using field test
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Materials Science, Characterisation Materials Science, Defense Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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integrates clinical, molecular, and real-world data with emerging computational approaches, including large language models, predictive modelling, and multi-omics data integration. The lab coordinates and
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an excellent opportunity to contribute to a large-scale, multi-site randomised controlled trial. Working closely with the Principal Investigators, Associate Professor Ramakrishnan Mani and Dr Sharon Awatere, you
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excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and
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of seasonal spring melt. The PhD position’s objective is to investigate this link using observations from multi-frequency satellite SAR (TerraSAR-X, Sentinel-1, RCM, NISAR, ALOS-2/-4) and laser and radar
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sets the multi-year growth trajectory of HSIF, including cohort scaling, geographic expansion of host placements, and new institutional partnerships. The role holds decision rights on selection