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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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retrieval-augmented generation open fundamentally new possibilities for automating and scaling this process. In this project, you will develop intelligent computational systems that combine constraint-based
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer
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) Country Sweden 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 within a
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instrumentation (single-cell mass spectrometry, high-resolution microscopy, next-generation sequencing) and artificial intelligence-guided computational workflows. Job Description Develop computational image
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Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and
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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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unique research center, CI3, which focuses on reproductive policy and innovations in sexual and reproductive health. The department was ranked #16 on the 2022-2023 U.S. News & World Report. The overall