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integration models As a PhD researcher, you will: Support MRI and EEG data acquisition and optimise processing pipelines Manage, curate and integrate multimodal datasets (MRI, EEG, wearable sensors) Develop and
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/ Laboratory of Mechanics and Acoustics (LMA) – Marine acoustics and Seismic imaging group (Marseille, France) Main collaborators at CNRS-LMA : Dr Nathalie Favretto-Cristini, Dr Paul Cristini, Dr Vadim
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principles (k-space, pulse sequences, image reconstruction) Prior experience with MRI data analysis or medical image processing Familiarity with deep learning for image segmentation or detection tasks
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website https://renshaw.sites.sheffield.ac.uk/ For informal enquiries about this job contact Prof. Steve Renshaw, PI, on [email protected] Next steps in the recruitment process It is anticipated
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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signaling in larval Drosophila using two-photon tracking microscopy developed in the Gershow lab. The postdoctoral researcher will design and conduct imaging experiments, analyze volumetric imaging datasets
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prototype device development. The successful candidate will work directly with Prof. Xianzhong Chen in this project. It is likely that one PhD candidate will also be recruited to work in an area of direct
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Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ .
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
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“Personalizing Affective Images with Generative Artificial Intelligence”, led by Maciej Behnke, PhD, DSc. Number of scholarships: 1 Host unit: Faculty of Physics and Astronomy, Adam Mickiewicz University, Poznań