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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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/Prof Linda Corrin, Asst Prof Yizhou Fan, Adj/Prof Rafael Ferreira Leite de Mello, and A/Prof Lan Yang. They will be based at the Centre of Learning Analytics at Monash. The PhD 1 project will focus
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. If successful, you will join Dr. Roberto-Martinez Maldonado, Prof. Dragan Gasevic, and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University
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PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
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collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
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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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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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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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qualitative data capture and analysis Ability to work independently and manage tasks with minimal supervision Strong organisational and analytical skills Excellent communication and collaboration skills