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theory and experiment. By integrating quantum optics, quantum information theory, and machine learning, the project seeks to establish scalable hybrid spin–orbit quantum links. Free-space connections
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are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science
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the development of professional skills that enable the postdoc to actively pursue a career of his/her own choosing. Be supervised by at least one faculty member who actively promotes the postdoc's professional
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Electrical & Computer Engineering Work Location Grigg & EPIC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Monday through
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| Protein Chemistry Department's Website: Summary of Job Duties: The successful candidate will work in the Analytical Protein Chemistry program of Dr. Samira Feyzi. The postdoc will focus on conducting and
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implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine learning with the physics of laser–matter
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department. For more information on our department, please see our website: https://med.stanford.edu
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teams that propel us on our journey toward the future of medicine and Precision Health. Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning
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Inria, the French national research institute for the digital sciences | Lyon, Rhone Alpes | France | 2 months ago
Offer Description The postdoc will take place within the framework of the défi Inria LLM4Code, which objectives are to apply machine learning techniques to the automatic generation of code, and in