302 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral research jobs in United Kingdom
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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personal and professional development opportunities. To learn more follow the link to our benefits website . To apply For further information on the Post Doctoral Fellowship Schemes and how to apply please
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(together with UCL, King’s and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics. BCI is committed in supporting and developing future cancer researchers through its extensive
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mmWave Communications (mmWave TRACCS), which is a collaborative project with Queen Mary University of London (QMUL) and University College London (UCL). The project brings the complementary expertise
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the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
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(starting with MCP or LangChain), the project will design, specify, implement, and evaluate advanced capabilities such as self-organisation, spontaneous generation, self-protection, and auto-scaling
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides