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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
‑impact tools that serve the UAE, the wider Arab world, and global society. We are seeking a Post-doctoral Associate to join the team to work under the theme of Computational & Interactive Health under
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections
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Description Job description The dot on the horizon is a hybrid intelligent system in which AI tools support and learn from people interacting to make sense of something. What that something is can be anything
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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degree in human-computer interaction, computer science, interaction design, applied artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds
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would like to invite applications for a fully funded Postdoctoral research position within the “Environmental Intelligence” project and the Sustainable Futures Lab. The project firstly focuses on
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for a postdoctoral position in Child–Computer Interaction. The postdoctoral position is affiliated with the research project ‘Ultra:Bit’, funded by the Villum Foundation and the Novo Nordisk Foundation
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive