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Field
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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work. Helpful additional experience: · Computed laminography or other limited-angle imaging geometries. · Battery materials, electrochemistry or in situ / operando experiments
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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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engineering Researcher Profile Established Researcher (R3) Application Deadline 8 May 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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organosulfur compounds using infrared and/or ocean color observations. Processing and analyzing satellite imaging spectroscopy data and integrating these with in situ and geophysical datasets. Lead dissemination
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is located in Pittsburgh, PA, a city with a vibrant research and tech community. The ideal candidate has a PhD in Computer Science, Electrical Engineering , or a related field, with a strong
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational