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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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-term position for two years is part of the Queensland Quantum Decarbonisation Alliance (QDA) — a major collaboration between leading Queensland universities and partners, including CSIRO and PsiQuantum
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us! Key responsibilities will include: The position is responsible for enabling the team to integrate geophysical sensors on drones. We have an initial focus on aeromagnetic and electromagnetic
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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/Senior Research Officer to grow their expertise in applied electromagnetics and antenna design, contributing to a pioneering quantum sensor project. The successful candidate will lead research in antenna
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quality and accuracy. Practical experience with field instrumentation, sensors, or experimental setups—ideally in environmental or geophysical monitoring contexts. Competence in data processing and analysis
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will involve developing deployable prototypes, efficient big data algorithms, and publishing in top-tier venues in databases, machine learning, and data mining. Key responsibilities will include
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systems for sensor alignment, motion control, and structural stability; collaborating on the assembly, integration, and optimisation of laser imaging platforms; conducting testing and validation to ensure
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-based hail climatology for France, Switzerland and Northern Italy, including hail swaths per event across more than a decade. Design, develop and train geostationary satellite-based hail algorithms using
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: Research: Development and validation of predictive maintenance algorithms for solar farms. Interface with industry partners for knowledge sharing and feedback. Play a key role in reporting to the funding