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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
innovative methods at the intersection of operations research, artificial intelligence, and machine learning to address complex supply chain, logistics, and transportation challenges. The full job description
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researchers will gain hands-on experience with data collection, social network analysis, generative artificial intelligence (GenAI) applications, and scientific research methodologies. This position offers
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of superpower competition; and the impact of technology and artificial intelligence on international politics (https://lkyspp.nus.edu.sg/cag) . The candidate will have three main responsibilities: (1) conduct
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applications for a vacant PhD scholarship at the Department of Accounting within the subject of accounting and artificial intelligence within the field of either financial accounting, management accounting and
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the deployment, operation, and maintenance of seismic stations and associated equipment for field data acquisition. Develop, implement, and optimize artificial intelligence (AI) algorithms for the automatic
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Science & Artificial Intelligence Research Center at Tilburg University hosts the Secure Hardware Intelligence Extraction and Logic Deconstruction (SHIELD) research project, a scientific initiative focused
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foundational or use-inspired Data Science (DS) or Artificial Intelligence (AI) research will be considered. Candidates working in one or more of the following broad areas of AI for Science research
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health Artificial Intelligence in Health Data Science and Analytics Biostatistics Health Systems and Health Policy Healthcare Management and Leadership Candidate Profile Successful candidates are expected
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conditions:•Master's degree in Bioinformatics, Computer Science, Artificial Intelligence, Bioscience Engineering or a related field, obtained by the start date of the contract.•Applicants must be doctoral
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optimize experimental protocols, analyze complex datasets, and contribute to scholarly publications. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and