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-autonomous systems, and their applications to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength
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and/or instrument control code, leveraging advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class
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eVTOL drone. You will drive the development of the airframe, test and de-risk the controller, and integrate and optimize the fuel-cell-based propulsion system. You will take a leadership role in
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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with any appointment. Click to view the Position Description for this role. Applications Close Saturday 26 September 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs
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the ARC Linkage project plan and agreed timelines plan and undertake controlled-environment and field-based experiments to phenotype oat germplasm and breeding populations for crown rust resistance apply
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engineering faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills & Experience: A PhD in Photovoltaic Engineering, Materials Engineering
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laboratory characterisation of astrophotonic components, including designing robust experimental procedures and analysis of data contribute to novel data analysis and/or instrument control code, leveraging
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, [email protected] Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your application, you
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de-risk the controller, and integrate and optimize the fuel-cell-based propulsion system. You will take a leadership role in generating high quality research output. This is an exciting opportunity