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teaching for both undergraduate and postgraduate students. The program courseware is accredited by the Global Accreditation Centre of the Project Management Institute. It builds the capacity of graduates
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. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
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at seminars and/or scientific meetings Strong written and oral communication skills Advanced computing skills including in programming in R You will bring your strong research expertise to a multi-disciplinary
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, QAQC procedures and data analysis experience with ‘R’ programming language excellent fish identification skills fish dissection experience, including otolith analysis analysis of video data from marine
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for independent work as well as team focused demonstrated ability of interpersonal, written, and oral communication skills demonstrated ability to prioritise and manage multiple tasks in a busy environment. Pre
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stakeholders Strong lab and team management experience, including financial oversight and resource planning excellent interpersonal, written, and oral communication skills, with the ability to present to a wide
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limited supervision and as part of a research team. demonstrated ability to contribute to publications, grant writing and other project outputs. excellent communication skills in English (both written and
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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in a period of exciting and significant investment by the Faculty of Medicine and Health. In order to deliver on the University’s ambitious strategic plan, we are seeking academics who are passionate
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS