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to deploy soft sensors in real-time environments. Key responsibilities will include: Under the guidance of senior researchers, program process models for the minerals processing industry Assist with
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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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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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/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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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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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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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
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- your research will result in deployable system prototypes, cutting-edge algorithms, and publications in top-tier venues. You’ll be part of a collaborative environment that values innovation