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for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through publications and on conferences active interactions
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nanomotors. Conducting in vivo PET/SPECT/CT studies in small-animal models to assess tumor accumulation and treatment response. Analyzing imaging and ex vivo data (quantification, autoradiography
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research that directly benefits patients? Join our translational research team and help shape the future of pediatric leukemia treatment through image-based drug profiling. We’re looking for a dedicated
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Group at the Vall Hebron Research Institute (VHIR) is looking for a postdoctoral Scholar with previous experience in magnetic resonance imaging (MRI). This position will be full-time with 4 years duration
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
techniques including ML-guided imaging cytometry, long-term time-lapse microscopy, and MS-based characterization of non-canonical PTMs to study how metabolites coordinate stress and development in plants
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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, behavioral testing, molecular biology, immunohistochemistry, confocal microscopy, and image analysis. Fluency in English and strong scientific writing skills are essential. The fellowship offers a monthly
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, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias or precision oncology Experience with biological image
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| Anesthesiology Research performed is the studying of stem cell and organoid biology, neurodegenerative disease with an emphasis on mitochondrial dysfunction and non-coding RNAs. The research will integrates human
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researcher will carry out research tasks in IMAG, within the ERC NEMESIS project team, led in IMAG by two principal investigators, Jérôme Droniou (CNRS) and Daniele Di Pietro (University of Montpellier