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and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. To learn more about the Crick, click here . About the role We are seeking a highly motivated and
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contribute to the excellence of our academic community. The ECMO/Clinical Research Fellowship is based out of the Division of Pediatric Surgery as well as the Department of Pediatrics. This is a non- ACGME
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detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
estimation in robotics, stochastic control in systems and control theory, stochastic image processing or probabilistic computer vision). The School/Department The School of Engineering brings together a
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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and imaging technologies. Current research themes include cell signalling and decision making, tissue architecture, homeostasis and regeneration, cell-matrix biology, RNA biology and the physics
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-drug interventions) for Alzheimer disease, Lewy body and other forms of dementia. Our studies use different methods including imaging, biomarkers and neuropsychological methods to assess healthy
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Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement About the position A PhD fellowship is available at the Institute of Clinical Medicine, University of Oslo
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epileptic patients to the analysis of microscope images. This position aims to research and develop biomedical image processing methods for the subsequent application of artificial intelligence methods
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic