372 condition-monitoring-machine-learning-"Multiple" Postdoctoral positions in United Kingdom
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available from 1st September 2025 for one year in the first instance. The successful applicant will plan, conduct and analyse qualitative ‘think aloud’ interviews with those living with multiple long-term
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Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
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observation-based climate datasets. In addition, we will also use innovative machine learning tools to evaluate the relationship between a set of hypothesised climatic precursor conditions, called (potential
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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ERC-funded postdoctoral fellow in theoretical developmental biology, using tools from applied mathematics, biophysics, and machine learning A talented and creative researcher is sought to take part
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interdisciplinary research including experimental field trials, social research, and ecological monitoring across multiple sites. The post-holder will lead the project’s ecological research components and contribute
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Excellent written and spoken English. Finnish or Swedish not required but considered an advantage. Strong interpersonal and communication skills, proactive mindset, and ability to manage multiple tasks
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states of matter, which are generally characterised by their long-range quantum entanglement, fractionalised excitations, and absence of ordinary magnetic order, using multiple experimental techniques
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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related