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Field
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knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C++ and Python. Demonstrated ability
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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surfaces. (iii) Optimize and enhance the computational algorithm by introducing a patterned spintronic THz emitter array to resolve the two-dimensional object image from the data set in real-time
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appendages across diverse vertebrates. You will collaborate with developmental biologists, geneticists and evolutionary scientists across the Faculty of Science. The team offers strong technical support
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Details Title Biodiversity Postdoctoral Fellowship School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description The Biodiversity Postdoctoral
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experience in power electronics, switching strategies, and control algorithms • Strong knowledge of power electronics, drives, and control is highly preferred. • Experience with hardware testing and real
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developmental biologists, geneticists and evolutionary scientists across the Faculty of Science. The team offers strong technical support, access to advanced imaging and genomics platforms, and mentoring
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS). Key Responsibilities: Design the algorithm for Integrated Sensing and Communications
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for one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities: Develop state-of-the-art and innovative models and algorithms to improve port and