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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in
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formed to engulf cellular material, is critical for cellular health and healthy ageing. This process is hierarchical and can be understood as a sequential process, where key protein complexes and
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clinical researchers. - Experience with multimodal imaging or integration with other imaging techniques. Application Process: Interested applicants should submit the following: - Cover letter outlining
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the PhD student consolidation of results, synthesis, drafting of a user manual and industrial construction recommendations Target result: creation of a characterisation bench prototype, validation, drafting
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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a PhD or MD/PhD degree in Electrical, Biomedical or Computer Engineering, Mathematics, Computational Biology, Bioinformatics, Artificial Intelligence, Computer Vision, Computer Science, or Statistics
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processes that previously have been difficult to study, but where recent advances - such as within sequencing, AI, imaging, mass spectrometry, tomography and exposomics provide new opportunities. Main
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and northern blots, computerized image analysis, PCR, tissue culture; handle and breed transgenic mouse colonies; assist with pre-, intra- and post-operative support for small animal surgical procedures
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en/offerta-formativa/dottorato/2025/computer-science About the