239 programming-"Multiple"-"Washington-University-in-St"-"Prof"-"O.P" "U" Fellowship positions in Australia
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program, contributing to service and engagement activities, and mentoring the next generation of researchers through effective student supervision. This position presents a unique opportunity for an
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science capabilities to form School of Earth and Planetary Sciences: The School provides world-class training for geoscientific and geospatial careers through our industry-recognised teaching programs, and
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Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and
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collecting and analysing interview and interactional data. This will enable the co-design, testing, and implementing of a new training program to improve how assessments are communicated with clients and
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Conduct research and develop a research program in experimental quantum turbulence and manipulation of quantum vortices to enable studies of 2D melting. Innovate and pursue the aims of the Discovery Project
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development programs and activities Cross University collaboration opportunities On-campus health clinic, gym and other fitness facilities Salary packaging and extra leave benefits How to Apply For a copy of
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opportunities. Access to an Employee Assistance Program. Position Requirements Completion of a PHD degree in Electrical Engineering or a closely related field. Demonstrated ability to engage in research areas
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning