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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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participate in the creation of next-generation drug discovery platforms for AMD. The successful applicant should have research experience in at least two of (a) deep learning and AI methods; (b) causal search
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measurement, four-point probe for resistivity, deep-level transient spectroscopy, and a semiconductor parameter analyzer. Job Description: The Department of Electrical and Computer Engineering (ECE
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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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motivated postdoctoral researcher to join our team working on a cutting-edge cyclic peptide mRNA display platform under the supervision of Professor Akane Kawamura (https://kawamuraresearchgroup.com ). You
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graduate and postdoctoral funding programs , the CGS-Doctoral program will become the Canada Graduate Research Scholarship – Doctoral (CGRS D) effective for the fall 2025 competition. A significant change is
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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, Chief of the Division of Biostatistics in the Department of Population Health Sciences, is accepting applications for a postdoctoral fellow interested in the development and application of state