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Field
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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the research process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Support the operations of the MASSIVE Virtual Reality Laboratory and its activities - Collaborate
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Job Description The successful candidate will work with Professor Barbaros Oezyilmaz and Dr Toh Chee Tat on applications of 2D Amorphous Carbon under the Central Gap Fund grant on commercializing a
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structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices
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Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term position for up to 12 months Base salary will be in the range $82,057 - $109,246 + 17% super (Academic
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publications representative of your work and research interests, ideally related to Riemannian Optimization. Contact Information Melanie Weber Contact Email [email protected] Salary Range $67,600 – $91,826
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Conducting technical debugging, system performance optimization, and basic functional code verification. Documenting the code repository, technical architecture, and system workflow in a final report. V
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for reproducible HPC environments. Experience with CUDA-level optimization or debugging hardware-specific performance differences. Basic knowledge of protein structure, folding, or biophysics. Our University
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, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
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tools for forage producers. The research aims to advance ecological weed management strategies and provide producers with practical information to optimize forage production, livestock performance, and