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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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12 Months, Specific Purpose, Full-Time Post Position Summary We are now looking for a Clinical Research Fellow to join the Medical Imaging & Radiation Therapy research team and participate in our
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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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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature
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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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We are seeking to recruit a Bioinformatician, for an initial period of 18 months, funded by an ARPA-H LIGHT (lymphatic imaging, genomics, and phenotyping technologies) grant, a multicenter study
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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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imaging, lipid biochemistry, structural biology, and model systems (neurons, blood cells, immune cells, trophoblasts, and more) to uncover membrane mechanisms and develop new therapeutic strategies. Minimum