12 computer-science-programming-languages-"the"-"U"-"U.S"-"Humboldt-Stiftung-Foundation" positions at CSIRO
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computational skills in scientific computing languages (e.g., Python, Julia, R, MATLAB). Experience modelling and solving constrained optimisation problems in scientific computing environments. Excellent
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, focusing on renewable fuels such as SAF and renewable diesel made from biomass, residues, and waste, with scope to explore e-fuels from green hydrogen. Working within the Sustainability Program in
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doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area of soil science, such as Human Computer Interaction, User Experience and Engagement
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revolutionise our understanding of the Universe and the laws of fundamental physics. Enabled by cutting-edge technology, it promises to have a major impact on society, in science and beyond. The SKAO is an
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work experience, in Computer Science and Programming. Extensive experience developing distributed or enterprise software solutions. Proven ability to identify and manage complex problems and adapt
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individual circumstances. Reference: 100835 As the successful candidate, you will bring: A relevant Bachelor’s or Master’s degree, or equivalent relevant work experience, in Computer Science and Programming
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Computer Science and Programming. Extensive experience developing distributed or enterprise software solutions. Proven ability to identify and manage complex problems and adapt quickly to changing circumstances
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R language and/or computer coding. Previous experience with use of Health and Safety management and incident recording software such as DoneSafe. Proficient in Microsoft programs, Word, PowerPoint
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admission requirements meet university English language requirements not have previously completed a PhD be able to commence the program in the year of the offer enrol as a full-time PhD student be prepared
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to formulate, develop and complete an approved research program. Responsibility for smaller research projects or elements of larger projects within and/or across Research Units. Leading and supervising staff