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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in applied mathematics, mathematics, statistics, operations
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, epidemiology, statistical genetics, bioinformatics, biostatistics, computer science, or a related field. Statistical and programming skills, such as R and the use of UNIX/LINUX, are required. Experience in
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Engineering . The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching (10%) and other
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: integration of diverse datasets, robust statistical inference, and causal inference through statistical analysis, and strong team coordination capacities. A PhD in Geography, Environmental Science or Studies
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
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of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position
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will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Technology within three months
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Econometrics and Business Statistics at Monash University is globally recognised for its excellence in research and teaching. Our department is a leader in developing cutting-edge methodologies in econometrics
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programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a period of three years and full time studies with the possibility
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Fellow will have the opportunity to lead statistical analyses of large-scale clinical registry and administrative datasets. Some key skills required: A PhD in health data science, and/or relevant work