1,668 development-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DIFFER" Postdoctoral positions
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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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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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, 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
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pathways for complex multi-sectoral delta systems. Your job In this 2-year postdoc, you will explore new approaches for developing multi-risk adaptation pathways that inform robust decision-making while
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basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical
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University. The fellow will develop new methodology utilising the LPJ-GUESS dynamic vegetation model and applying it for assessment of dynamics and carbon cycling in forests around the world. They can expect