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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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of OSPAR-listed elasmobranchs (sharks and rays). The purpose of this role is to deliver the project’s spatial and statistical modelling components and integrate advanced marine sensing data into practical
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statistical and quantitative modelling. The successful candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable
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information for three references. Review of applications will begin immediately. Job Summary Applications are invited for a Postdoctoral Fellow at the intersection of Regulatory Genomics and Statistical
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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is an award winning, multi-sectoral team of researchers, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We
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group; a multi-sectoral team of researchers, data analysts and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are looking
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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distributions and characteristics at high spatial resolution. We are looking for an experienced, self-motivated, and dynamic researcher with a track-record working and publishing in the field of evidence-informed