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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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imaging instrumentation and methods including subdiffraction fluorescence imaging methods and multimodal fluorescence and infrared imaging methods. Developing these methods includes designing and building
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
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microscopy-based imaging, flow cytometry, single-cell omics technologies, and functional immunological analyses. The research group is located in the MediCity Research Laboratory of the Faculty of Medicine
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employs a multidisciplinary experimental toolkit that includes: In vivo two-photon imaging of identified neuronal populations in awake mice, auditory behavioral assays, ex vivo brain-slice imaging and
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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spectral based sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform
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-resolution microscopy Genome editing (e.g., CRISPR-based approaches) Quantitative and live-cell imaging Functional genomics The project is embedded in an interdisciplinary research environment combining