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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools
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stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer
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intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you wish to be taken
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to understand cancer development and to develop new therapeutic strategies. The Fred Hutch/University of Washington Head and Neck Research Program- Fred Hutch and the University of Washington have a world-class
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Programme? Not funded by a EU programme Reference Number 46/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doc position available in the Institute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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describing your technical skills and strategic vision for the proposed work; 4. Two recommendation letters, **one of which must be written by your PhD advisor**. **Application submission:** [fabio.lira
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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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• author peer-reviewed publications, and • work effectively in a large, multidisciplinary team of engineers, chemists, and biologists. . Basic Qualifications Must be a recent PhD graduate within
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are especially interested in candidates with strong technical expertise in AI architecture design (e.g., Vision Transformers, foundation models, and federated learning), scalable computing on leadership-class