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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 11 hours ago
qualified Post-Docs interested in Computational Social Science. This application call is targeted to the broad topic of artificial intelligence, computing, and society. Research Themes and Teams The Network
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://www.academictransfer.com/en/jobs/359802/postdoc-in-hybrid-intelligence-… Requirements Specific Requirements PhD in Computational Linguistics, Computer Science or Artificial Intelligence At least two of the following
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research backgrounds in game theory, mechanism design, artificial intelligence, machine learning, and optimization, broadly defined. Applicants working at the intersection of these areas, especially those
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in a scalable manner, as well as innovating new methods for understanding or treating disease. Our key projects include: Primary research using Artificial Intelligence (AI) and bioinformatics and
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-UNICAMP) in São Paulo state, Brazil, is to develop methodologies based on Artificial Intelligence (AI) to enhance Fluid Antenna Systems (FAS) and to fundamentally address the scalability challenges of 6G
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Requirements Experience in machine learning or artificial intelligence applied to biomedical data Experience in integrating clinical, molecular and imaging data for translational research Publications in high
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will hold a PhD (or close to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science
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(LCCS) at the University of Liverpool. You will join an ambitious EU-wide collaboration ( ARISTOTELES: Artificial intelligence to define clinical trajectories for personalised prediction and early
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science, interaction design, applied artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment