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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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28 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
interested in one of these, please get in touch with the project supervisor directly. To view potential projects, please visit the CDT’s webpage, here . Prepare application following the Applicant information
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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OPPORTUNITIES FOR MORE INFORMATION, PLEASE CLICK HERE Am I eligible? Do I have to have or be doing a Masters? No. SENSS studentships last from between 3.5 years (typically for those who have already done a
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economics. The successful candidate will play an integral role in launching and running the new LSE Green Skills Lab at the Grantham Research Institute, supporting data-driven, policy-relevant research
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Data Skills Advanced Quantitative methods Interdisciplinary Collaboration with researchers outside of the social sciences Please do speak to your selected institution should your project include any
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Trinity Laban Conservatoire of Music and Dance | London, England | United Kingdom | about 1 month ago
Proposals of ca. 1,500 words that address the above research context should be uploaded to Embark, together with an annotated bibliography and other specified application information. Priority will be given
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delivered in routine practice for people with alcohol and drug dependence. This will be a large-scale longitudinal cohort study using national registry data on employment and health. A target trial emulation
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mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded