321 software-verification-computer-science-"Prof"-"Washington-University-in-St" Fellowship positions in Australia
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, astronomy, or computer science. Work experience in Computer Science, Information Technology, or a related field. Strong programming skills in C++, Java or Rust. Experience with repository management, software
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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, electronic and software engineering. The Institute consists of three Research Areas - the International Centre for Neuromorphic Systems, Brain Sciences, and Biomedical and Human Technologies. The Postdoctoral
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Job no:517048 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 or (Level B) $114,917
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Physics, Chemistry, Materials Science, or a closely related discipline. An emerging profile in research in computational condensed matter physics, materials science, or chemistry. Demonstrated expertise in
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Launch your career at Australia’s leading scientific research organisation! Exciting opportunity for an early career researcher with a PhD in Mathematics, Data Science, or Computer Science Join the
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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or borehole reflection seismic data using industry-standard software. Experience, willingness and ability to participate in field acquisition of land and downhole seismic data. Experience in or commitment
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peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
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, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational