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part of a broader collaborative team, under the supervision of Dr Shivani Pasricha, you'll utilise advanced molecular genetic technologies like CRISPR and data analytics to understand infection dynamics
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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equivalent experience. A passion for research that makes a difference and influencing public policy discourse. Demonstrated expertise in data analytics and econometrics methods and their application to real
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protective barrier against absorption and understand the kinetics of penetration for chemicals of concern. This work is designed to provide experimental data for evidence-based decision making by first
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fluorescent microscopy, polarized light microscopy) and biochemical analytical methodologies (e.g. micro-FTIR, micro-XRD, micro-MRI, micro-CT and so on) Bio-sample preparation Literature review, data analysis
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stakeholders to design oligo modifications aligned with project goals. Support experimental design and data analysis to ensure robust technical outcomes. Resource Management & Compliance Maintain inventory
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and Responsibilities: We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling
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qualitative data using established and rigorous analytic methods Apply knowledge in a way which develops new intellectual understanding and that ensures pathways are accessible and inclusive Disseminate
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and healthcare system simulation modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing
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Sea Marine Protected Area, with a focus on emperor penguins. Specifically, you will be responsible for generating genome sequence data and perform analysis to inform a report on the Ross Sea Marine