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Field
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of flame acceleration and detonation phenomena and/or numerical modelling and simulation of three-dimensional turbulent reacting flows in a CFD code is a requirement. Applicants must be able to work
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and/or MD in computational biology, bioinformatics, genomics, or other related fields. Proficiency with high-throughput sequencing data analysis and cluster/cloud computing. Expertise in variant calling
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 days ago
free energy calculations or advanced sampling techniques—is essential, ideally involving proteins, nucleic acids, or other biomolecules. Proficiency in programming or scripting for simulation and data analysis
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calculations. In this collaboration, the experimental work will be carried out at the University of Salford, whereas the mathematical analysis and numerical modelling will be done at Nottingham. The work will be
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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
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The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of solid mechanics and stress analysis to work across several industry
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familiarity with or experience in secondary data and its analysis. Demonstrated experience analysing and reporting quantitative data and/or qualitative data. Life at QUT We're committed to building a culture
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nondestructive evaluation, ultrasound / technical hands-on experience in numerical simulation of wave field Good written and oral communication skills Excellent skills for data analytics, signal processing, wave
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated