11 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"University-of-Surrey" "The University of Edinburgh" Postdoctoral positions
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Full time: 35 hours per week Fixed term: 12 months The Opportunity: The Hardwick (https://biology.ed.ac.uk/hardwick ) and Jeyaprakash (https://biology.ed.ac.uk/jeyaprakash ) groups at the University
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the full project team. This programme of research will be conducted in collaboration with partners from the Australian National University and Natural England and has been funded by the UKRI through the ESRC
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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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Assistant (PDRA). The Opportunity: The aim of the project is to characterize genes that control the programmed cell death and cell separation that occurs during the breakdown of the maternal tissues
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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of volcanic plume dynamics which is key to manage hazards posed by explosive volcanism. The post-holder will join a diverse team including co-leaders Eric Breard (University of Edinburgh), Samantha Engwell
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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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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
can apply for this position by submitting the following documents through the MPG postdoc program website (https://postdocprogram.mpg.de/node/21092 ): Motivation letter detailing your background, reason
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. Mai Luo and Prof. Michael O'Boyle from the University of Edinburgh. Overall, there will be great opportunities for collaboration between more than a dozen PhD students and post-doctoral researchers