76 programming-"LIST"-"Humboldt-Stiftung-Foundation"-"U.S" Fellowship positions in Australia
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the Environmental Economics team. About the opportunity Research Fellow Biodiversity and Climate Change Adaptation will conduct research to support key deliverables for a National Environmental Science Program (NESP
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working with Lean interactive theorem prover and automatic verification tools such as Verus and Veil to verify properties of Rust programs in a concurrent setting. The background of using ITP’s such as Lean
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
working with Lean interactive theorem prover and automatic verification tools such as Verus and Veil to verify properties of Rust programs in a concurrent setting. The background of using ITP’s such as Lean
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, biomedical, chemical, environmental and geoscience disciplines. How to apply: To be considered for this position, applicants must address the selection criteria below and attach your CV (including a list of
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of audiences Highly developed interpersonal and organisational skills, evidenced through experience in coordinating grant programs, managing scientific facilities, leading research communications, and
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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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. The School is one of the largest and most prestigious schools Australia for thriving research programs and contribution to education excellence in Aerospace, Mechanical Engineering, Advanced Manufacturing
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attach your CV (including a list of two referees), a statement of research interests and achievements. Essential A PhD in plant and/or microbial community ecology or a related discipline and relevant
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the attached position description for a comprehensive list of roles and responsibilities. College of Nursing and Health Sciences At the College of Nursing and Health Sciences, we aim to be an innovator in
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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