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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program
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as one PDF) 2. 2027 MQLF CV and Research Opportunity and Performance Evidence Form 3. Evidence of PhD conferral (if awarded) or submission date For general information about the Fellowship opportunity
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preparedness and response. collaborate with the quantitative PhD student and broader team to co-develop integrative methods for combining qualitative and quantitative network data. The candidate will be based
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qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic skills with an interest in training in
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manage research datasets, including development of analytic workflows, REDCap data collection tools, algorithm development, and validation of NLP pipelines · lead the development of scholarly outputs
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of data systems with project and analytical requirements. Provide technical advice and guidance to researchers on best-practice data workflows. Contribute to a proactive culture of safety, collaboration
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In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists
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Engineering » Chemical engineering Chemistry » Biochemistry Chemistry » Analytical chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Australia Application Deadline 26 Jan
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essential PhD experience in single-cell research and data analytics, ideally in proteomics or transcriptomics. The candidate should have evidence for high-impact publications, experience working with HPC
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for predicting resource demand and optimizing allocations. Skills Gained: Students will work with real-time data analytics, reinforcement learning, and predictive modeling to create efficient resource utilization