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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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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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Jan 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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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
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well as opportunities for conference attendance and collaborations with other research organisations. Key Skills, Experience and Qualifications PhD in machine learning, computer vision or a related field. Established
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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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around the start date. Minimum Qualifications Applicants must have fulfilled all requirements for the award of a PhD or equivalent qualification in a relevant field by the date of employment. Desired
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towards ultra-low energy AI, neuromorphic and in-memory computing systems, 6G, and logic systems with unprecedented efficiency and scalability. You will have a strong background and keen interest in
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials