22 programming-language-"St"-"Washington-University-in-St"-"St" Fellowship positions at Curtin University
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the climate finance program, adaptation and mitigation measures. This is an important COP for Australia, as we will find out whether our bid to host the COP31 in 2027 has been successful. The Scholarship
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this capital is distributed to our neighbouring developing nations in the Pacific Region, to ensure health, education, and infrastructure outcomes. The Scholarship Program consists of the following components
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a dedicated Translation and Impact program (T&I) with a strong reputation for engaging with partners to share our skills, knowledge, and expertise for mutual benefit. By collaborating with experts in
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/physiological measures (e.g. expired gas energy expenditure and accelerometry), qualitative studies involving focus groups/interviews, or program development/intervention studies. Desirable: Demonstrated skills
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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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techniques Managing and maintaining a state-of-the-art ToF-SIMS facility Building and leading collaborative research programs Engaging with industry and external stakeholders to support translational research
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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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internationally competitive and high-quality research in the relevant discipline/field, developing a coherent research program, participating as a co or chief investigator in applications for competitive funding
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research programs Engaging with industry and external stakeholders to support translational research Contributing to research grant applications and mentoring early-career researchers Collaborating with
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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