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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Use AI coding agents to develop ad-hoc APIs
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using ML, network-based and agent-based models Integration of histological, clinical and transcriptomic data for precision oncology Translational and innovation-oriented projects linked to clinical
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, agent-based modelling, and the use of online experiments is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process
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factors and other topics. Neurophysiology and Computational Neuroscience: covers basic neurophysiology and synapses utilizing computational modeling of neurons to enforce concepts. Neuropharmacology: covers
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LLM-based scientific agents. In the project, you will (i) identify potential sources of uncertainties in AI agents, (ii) investigate ways to assess the quality of uncertainty estimates by standard
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research, the KTP will develop and deliver high-quality, best-in-class training models for a global customer base in safety critical environments. The successful candidate will be employed by the University
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Dr Helen Mulvana and an interdisciplinary team of experts based at the Universities of Nottingham and Cambridge. The successful candidate will contribute to the development of techniques for ultrasound
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. • Share concerns appropriately by avoiding direct confrontation in staff meetings: supporting in public, confronting in private. • Participate in RA selection and evaluation processes. • Role model
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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that entrepreneurs face when they want to produce life-sustaining goods in a regenerative manner. Regenerative practices require business models supported by an organizational design structure that focus on restoring