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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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Vacancies PhD position on the pilot scale production of hollow fiber membranes and prototype dialyzers for improved dialysis therapy. Key takeaways Most patients with kidney failure receive dialysis
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Computational Imaging research group for a talented PhD student (m/f/x), on the subject of: Fast and low-dose medical imaging using multi
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. Train in cryo-TEM sample preparation, imaging, and interpretation, leading Nanoworx’ efforts in this area. Analyze and interpret data, delivering clear and concise reports, and contribute to team
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into this environment are invited to apply. Experience in fields such as NPC, peroxisomes, DNA origami, IDPs, biophysics, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female
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, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure of quite some female postdocs
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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to design and implement research projects. Support nanoformulation and in vitro characterization workflows. Train in cryo-TEM sample preparation, imaging, and interpretation, leading Nanoworx’ efforts in