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research projects on reliable foundation models (LLMs/VLMs), including robustness, uncertainty estimation/calibration, hallucination mitigation/detection, and safe deployment. Formulate / devise novel
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Lecturer will be required to comply with the policy of the Faculty of Engineering & Computing in the choice of teaching methods and technologies, and to undertake training to keep abreast of technological
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, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets; programming skills with experience in ML/DL frameworks; data visualization and EDA expertise; multi-modal data
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
algorithms to estimate human shape and motion in images, videos and RGB-D sequences. Our approaches define the current state of the art, and we are constantly pushing these methods and systems in order to
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties
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, distribution network modelling and power-flow analysis, building operational databases, and developing/validating AI-enabled state monitoring and state estimation methods for future resilient distribution
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Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: 1) Knowledge of the principles and methods of indigenous education 2) Knowledge of health and human services systems
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) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team (mandatory) Professional skills: Development of ab initio methods (optional) Methodological skills: Python