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simulation methods to target critical performance parameters for satellite quantum key distribution and imaging LiDAR applications. You will develop new process methodologies and fabricate SPADs in the state
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and forward-looking environment in which colleagues can develop their careers and contribute to shaping the future of computer The Role The role focuses on advancing research in explainable and
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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engineering research since 2016. MNMT- Dublin has particular focus on instruments development and high precision manufacturing combined with optical and bio-medical technologies applied in optical image, visual
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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culture models and cell imaging to decipher mechanisms contributing to cancer cell invasion. We offer a vibrant and creative multidisciplinary environment, and the successful candidate will be supported
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using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive
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to publications and presentations in leading statistics or machine learning journals and conferences are essential. Experience with brain imaging data, large-scale population datasets, longitudinal biomedical
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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into the regulation and function of diverse cellular processes. To this end, we use Vaccinia virus as a model together with quantitative imaging and biochemical approaches to study a variety of cellular processes