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About the role We are seeking a highly motivated research assistant with expertise in cardiac and extracardiac image acquisition and analysis to join the Raman research group at the Oxford Centre
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collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative analysis. The student’s work will provide
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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techniques. Historical strengths of KCCI are development of advanced FRET and FLIM imaging systems, techniques and data analysis which are used to train the national and international scientists through annual
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McGill University | Edmonton West University Strathcona Place, Alberta | Canada | about 23 hours ago
modifications using ion beam techniques. Collaborate with researchers on experimental design and execution. SEM Operation & Imaging Operate SEM systems for high-resolution imaging and elemental analysis (EDS
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offering cutting-edge scientific image analysis services to researchers from HT and from all public institutions in Italy. Our service portfolio includes technical consultation with users, building and
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preclinical studies involving radiopharmaceuticals for diagnosis and radionuclide therapies (in vitro uptakes, in vivo biodistribution, therapeutic efficacy), - Improving image analysis workflows to extract
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, fluorescence lifetime and vibrational imaging methods. Large-scale and high-throughput imaging and analysis pipelines: data acquisition and analysis to characterize cell-types and connectivity in mammalian brain
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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100