6 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at The University of Edinburgh
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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doctoral programs in fields like Ethnology and Pharmacy. With 3 postdoctoral stations and 5 ESI top 1% disciplines (including Chemistry and Computer Science), SCMU combines humanities excellence with STEM
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School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 01 January 2026 or later. You can submit your application
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completion; or other higher level degree (MD/PhD, etc) in relevant discipline (neuroscience, neurodegeneration, neurodevelopment, molecular and cellular biology). Experience in iPSC culture and differentiation
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hardware layers, as well as writing up and presenting findings. Candidates must have a PhD (or nearing completion) in Computer Science or related field and a strong research track record demonstrated through