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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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the gap between gene discovery and practical breeding outcomes in crop science. This role offers the chance to work at the forefront of plant genetics, contributing to real-world advancements in agriculture
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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relevant discipline area, such as eDNA, molecular ecology or other trace DNA-based genetics (e.g. ancient DNA). Please note: To be eligible for this role you must have no more than 3 years (full-time
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
synthetic biology, and crop genetic transformation. The ANU Plant SynBio Facility is located within the Research School of Biology. Funded by Bioplatforms Australia (BPA), Plant SynBio Australia (PSA) is a