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Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
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Engineering, and related fields, with a view to develop and optimize 3D bioprinted models, cell selection and expansion for bone models, biological and mechanical characterization of bioprinted tissues
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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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staff member engaged in research in systems science or mathematical sciences, such as systems and control, mathematical modeling, physical AI, or multi-agent systems. The successful applicant will be
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No Description/content The Regenerative Sciences PhD programme (PhD RegSci) at the MHH (Hannover Medical School) focuses on novel regenerative agents and biomaterials as well as cell transplants
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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functionalities for autonomous driving, as well as an immersive, multi-agent urban simulation platform for validating autonomous driving algorithms, pedestrian–autonomous/manual vehicle interaction, and human
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foundation models and agentic AI models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi
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., multi-omics, electronic medical records (EMRs), and/or biomedical imaging data, among others. AI/DL for omics-based predictive modeling, e.g., disease risk, treatment response, or adverse events. AI/DL
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM