AI-Driven Follicle Detection in Murine Nano-CT Images

03 set - Italia
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Università di Pavia collaborates with engineers to develop an AI tool that automatically detects and localizes ovarian follicles from nanoCT imaging datasets, aiming to automate classification and improve scalability. The project leverages 3D deep learning, including CNNs and Vision Transformers, to support accurate analysis. xrdztoy Aumenti le sue possibilità di ottenere un colloquio leggendo la seguente panoramica di questo ruolo prima di candidarsi. Applicants should have a strong background in mammalian gametogenesis and reproductive biology, with experience in CT analysis of soft tissues. #J-18808-Ljbffr

Operatore Sqaudra A Freddo Senior

07 set - Lovere
Randstad Italy

Executive Assistant Logistica

07 set - Terni
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Crea una Job Alert gratuita per ai-driven follicle detection in murine nano-ct images / italia

Addetto/a alle Vendite

07 set - Cuneo
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Global Logistics Excellence Intern: Optimize Costs

07 set - Sesto San Giovanni
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