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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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Security and Communication Technology. The workplace will be located in Trondheim. About the project The PhD work will be carried out within the Centre for Quantum Communication Networks and Applications
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correct, controllable, auditable, and SLA-compliant. The PhD work is grounded in the systems reality of deploying AI agents against real network platforms, where decisions about whether to execute