21 programming-language-"St"-"University-of-St"-"St" research jobs at University of Sydney
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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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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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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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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
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of scientific monitoring programs demonstrated experience managing and integrating large datasets experience working in large teams and organising complex field programs a strong commitment to delivering outcomes