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communication; ability to collaborate across clinical and engineering teams; attention to regulatory and data security requirements. Proficiency in image-based modeling and statistical shape modeling; experience
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ultrasound image guidance technology that are essential for realizing these therapies. [Work content and job description] Successful candidates will belong to Graduate School of Engineering and will be engaged
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activities within the PhD programme and in project coordination meetings. Where to apply Website https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias Requirements Research FieldEngineering
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
, division and the organization. The incumbent develops staff to ensure consistent, technology-competent service across all areas of the Imaging IT. The applications Imaging IT supports are used by the Medical
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of Engineering Information - duration 24 months - expiration date 17th Aprile 2026 1:00 pm Where to apply Website https://www.unipi.it/ Requirements Additional Information Eligibility criteria Eligible destination
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uses an interdisciplinary approach that integrates quantitative microscopy, live-cell imaging, molecular and cellular biology, computational analysis, and cancer model systems to investigate how
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the lab will be possible for students with an appropriate profile. Project description: X‑ray Computed Tomography (CT) is a central clinical imaging technique whose diagnostic performance relies heavily
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2 Apr 2026 Job Information Organisation/Company Università LA SAPIENZA Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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theoretical and algorithmic methodologies for learning latent representations shared across heterogeneous modalities, such as images, audio signals, text, and physiological data. Where to apply Website https
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stained to resemble H&E images (https://doi.org/10.1364/BOE.10.005378 ). This postdoctoral position aims at developing tools for classical H&E and virtual SRH staining and classification. This work is