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/simulations. Key responsibilities will include but are not limited to: - Developing novel machine learning algorithms for the prediction of physical and chemical properties, infrared and mass spectra
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equipment • Conduct wind tunnel/water experiments • Conduct computational fluid dynamics (CFD) simulations • Analyze experimental and simulation data and summarize key findings and observations
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subject Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
simulations to examine protein structure and function. This includes using advanced sampling methods and free energy calculations. The role involves publishing research in peer-reviewed journals, presenting
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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, morphological, chemical, physical and mechanical characterization; Knowledge in additive and/or subtractive manufacturing; Knowledge in CAD modelling, Knowledge in computer simulation: • Excellent knowledge – 20