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to £41,478 per annum. An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis modelling and
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as opportunities allow. We are looking for a post-doctoral researcher to join a research project which brings the Active Inference perspective to the study of human computer interaction. This requires
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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will have or be close to obtaining a PhD in a relevant subject such as remote sensing, physics, mathematics, computer science or environmental science. Experience of processing satellite datasets
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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should hold (or be near completion of) a PhD or equivalent in a relevant scientific discipline (e.g. chemistry, chemical engineering, materials science, or other science). If you have not yet been awarded
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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analysis and inversion of gravity gradient data from quantum technology sensors Develop data interfaces to enable integration with multi-modal sensing platforms Apply advanced data inference techniques
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master’s students and act as co-supervisor to PhD students as assigned by the Director of Institute and/or senior group leader. 10. Perform administrative tasks related to the activities of the project and