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This role will be to develop and apply image processing algorithms and software, to process two-timepoint (longitudinal) data from UK Biobank brain imaging. This will involve development of image
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involving fetal ultrasound and echocardiography, including image review, annotation, quality assessment, quantitative analysis, and development of standardized imaging datasets. The fellow will work closely
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program focused on developing microbiome-based therapies to improve outcomes to cancer immunotherapy. Our laboratory integrates clinical trials, patient biospecimens, microbiome profiling, immunology, and
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in probabilistic and ensemble weather forecasting, deep learning for spatiotemporal data, uncertainty quantification, data assimilation, or related areas. Develop and rigorously evaluate AI-based
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
Description We are looking for talented and motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing
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Technologies. The researchers will develop intelligent agents that collaborate, verify recommendations and learn from experience to improve wireless network energy efficiency. The research combines large
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1.1.2027 or as soon as possible. Job description You will be contributing to/establishing/developing an in-situ imaging system for NH3. You will be further developing optical NH3 sensors in the laboratory
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position for a postdoctoral research associate. The successful candidate will join the thriving activities of the center and contribute to the science developed in a new multi-university consortium, under
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research and scholarly training to support development of an independent research career. The fellow conducts research under the guidance of a Principal Investigator (PI), engages in professional development
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, which requires sediment management. The knowledge and tools needed for this pose profound scientific challenges. Your job The aim of the WadSED project is to develop the urgently needed system