307 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
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viewing conditions and across languages. By combining behavioural methods with machine learning, it aims to develop physiologically-based models of lexical colour categorisation. This is a multidisciplinary
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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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, cardiovascular diseases and rare diseases. This specific role focuses on engineering CAR-T cells and developing programmable gene control systems to improve safety and therapeutic efficacy. The successful
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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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will join the world-leading team in ultrafast magnetism and THz photonics. The project is based on the recent breakthroughs: 1. Phys. Rev. Lett. 135, 246703 (2025) https://doi.org/10.1103/ldnx-67qz 2
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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
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information about this position and to apply, visit http://jobs.sgul.ac.uk . Closing date for applications: Sunday 12 April 2026 If there is any issue with applying for the role, please email recruitment
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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