21 postdoctoral-biomedical-signal-processing Postdoctoral positions at Universitat de Barcelona
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shift for the future's thermal management devices through radical innovation in new materials”, partner of Universitat de Barcelona, for the characterization and processing of novel materials developed in
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motivation (maximum 30) * Experience in the field (maximum 30). The minimum score to pass the selection process is 70/100 points. Selection process First selection based on application documents, there might
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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Infrastructure? No Offer Description A postdoctoral position is available for the European project on democracy at work in Spain, Italy, Portugal, and Germany (1973–2023). Grant Agreement ID: 101235167
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score to pass the selection process: 60/100 points. Selection process An interview will be conducted if the evaluation committee deems it necessary. Required documentation: • CV (include contact details
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Switchable Materials Laboratory (ComSwitch Lab) invites applications for a postdoctoral position in the field of computational study of spin-crossover systems with increasing nuclearity. The candidate will
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fluctuations arising from stochastic events of cell division. The model will be analyzed using tools from stochastic processes such as the Langevin and Fokker-Planck equations, combined with a continuum active
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including cell implantation into different brain regions of either pre or postnatal mouse models, expertise in in utero electroporation is a plus. Proficient with processing tissue samples, including sample
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the EU Research Framework Programme? Horizon Europe - ERC Reference Number 885155 Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher
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are seeking a highly motivated postdoctoral researcher for a position to join the project "Brain signatures of 'self' representation explain and predict future depression in chronic pain patients". This project