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. Ali Bashashati). Responsibilities Develops deep learning models for classification, segmentation, and risk stratification using histopathology and radiology images. Designs NLP models, including large
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv
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and up-to-date records of all findings Department/Directorate Information The Division of Radiotherapy and Imaging is investigating new imaging methods to diagnose cancer, and ways in which advances in
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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following
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National Lab's (LBNL ) Molecular Foundry Division has an opening for a Postdoctoral Fellow - Microbial Genomics and Engineered Living Materials to join the team in collaboration with the Joint Genome
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Lawrence Berkeley National Lab’s (LBNL ) Molecular Foundry Division has an opening for a Postdoctoral Fellow – Microbial Genomics and Engineered Living Materials to join the team in collaboration
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) does not exceed 7 years. For general information on Postdocs at The ICR, more information can be found here . Department/Directorate Information The Division of Radiotherapy and Imaging brings together
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ligase activation Characterize the polyubiquitin architectures assembled and identify their downstream effectors Develop novel E3 ligase activity-based imaging technologies This position offers a unique