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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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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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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
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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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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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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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Australian agriculture: Analytics for the Australian Grains Industry (AAGI) and the Australian Plant Phenomics Network (APPN). Hosted by UQ’s School of Agriculture and Food Sustainability in collaboration with
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research culture · actively participate in professional networks contributing to the development of global resources for clinical trial improvement About you · a PhD (or near completion) in
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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