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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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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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and provide technical support to students and staff using equipment. Organise and maintain bioreactors and probes/sensors. Coordinate sample preparation workflows with the proteomics and metabolomics
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fermentation workflows. Organise and maintain bioreactors and probes/sensors. Coordinate sample preparation workflows with the proteomics and metabolomics teams Provide scientific/technical advice on methods
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analysis of data from a Laboratory Information Management System. Key responsibilities will include: Core Scientific Contribute to the coding and development of custom data analysis algorithms and modelling
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preparation and analysis on instruments to satisfy and accomplish research outcomes. Prepare experimental summaries for milestone reports and publications. Organise and maintain bioreactors and probes/sensors
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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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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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-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