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: Experience with remote sensing analysis, geographic information system, or flood mapping and analysis. Experience with geospatial data management. Knowledge of cloud-based applications. Preferred
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activity, and coastal protection benefits in the Caribbean. The postdoc will lead the development and application of a modeling framework to integrate remotely sensed datasets with coastal hydrodynamic
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in the Arctic and Antarctica using remote sensing, laboratory measurements, and field data. The candidate will be based at OSU, but will have opportunities to work directly with co-investigators
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knowledge of these areas of research is essential, and a strong background in remote monitoring in epilepsy is expected. It is essential the role holder has completed training in neurology and is working
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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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the possibility of extension,based on satisfactory performance. This position has the ability to regularly be performed at least partially remotely, with 4 days on campus and one day remote per week. Supervision
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teaming in complex scenarios. About the Role Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, communications, machine