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. The employment period 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
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to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you
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requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up
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Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or related field. Skills and Knowledge: Strong interest in (or skilled in) the development and application of hydrologic
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PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months after you start your position or after
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for a PhD Research Fellow within Salt Stratigraphy and Tectonics for the Energy Transition at the Department of Earth Science. The position is for a fixed-term period of three years with the possibility
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administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, or a social science related discipline. Strong foundation in survey
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ambitions to work in Data Science and/or clinical trial. The post holder will hold a PhD in medical statistics, Bio-Mathematics, epidemiology, or another quantitative discipline, and will possess strong
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Full time 3-year fixed term contract Level B Research Only La Trobe Bundoora campus location About the position La Trobe University’s School of Humanities and Social Sciences is strengthening its
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applications from candidates who meet the following criteria: PhD (or about to complete) in relevant discipline e.g. Bio/Medical/Mechanical Engineering; a track record of developing validated computational