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resources. In this particular PhD-position you will have the opportunity to develop, optimize and validate advanced MR metabolic imaging methods, for 3T and 7 Tesla MRI, that provide quantitative maps
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Automatic Object and Behaviour Recognition in Video/ Image Sequences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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related to staff position within a Research Infrastructure? No Offer Description A PhD research position is available at KU Leuven, Department of Electrical Engineering (ESAT), division Processing Speech
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 20 days ago
. - COMPETE2030-FEDER-00682600, Operation No. 15722, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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(surgery, medicine, equine sports medicine and rehabilitation). There is also extensive specialist support in related disciplines including anaesthesia, dermatology, ophthalmology, diagnostic imaging
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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/ Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Externally or self-funded students only View DetailsEmail EnquiryApply Online
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative