Phd Student In Artificial Intelligence For Medical Image Analysis
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We are seeking a highly motivated PhD candidate to join a newly funded research project focused on the development of Artificial Intelligence methods for the analysis of medical images and clinical decision support in neuromuscular diseases. We offer afully funded 3-year PhD positionat Instituto de Biomedicina de Sevilla(IBiS); Hospital Universitario Virgen delRocÃo / CSIC / Universidad de Sevilla.The project aims to develop state-of-the-art deep learning approaches capable of extracting clinically relevant information from routine diagnostic images, aiding clinicians improve disease detection and characterization.Related research topicsNeuromuscular diseases, deep learning and computer vision, bioimage analysis, convolutional neural networks, vision transformers, explainable AI and foundation models in bioimaging.Candidate ProfileRequiredEuropean IDMSc degree (or equivalent) in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Biomedical Engineering, Mathematics, Physics, or related disciplines.Strong programming skills.Excellent writing and communication skills in English.Motivation to pursue a PhD. The selected candidate will be enrolled in the PhD programme in "BiologÃa Integrada" at the University of Seville.DesirableSpanish speakerExperience in Computer Vision and image analysis.Experience with machine/deep learning frameworks (e.g., PyTorch or TensorFlow).Knowledge of CNNs and/or Vision Transformers.Experience with biomedical or medical imaging data.Familiarity with Git, and scientific computing environments.ApplicationInterested candidates should send:CV together with academic records.Short statement of research interests.Start date: Depending on the start date of the projects: "CSyC **- Proyectos FEDER (RPS **). Proyectos estratégicos en salud digital e inteligencia artificial". Presumably during **.#J-**-Ljbffr
Requirements
MSc degree (or equivalent) in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Biomedical Engineering, Mathematics, Physics, or related disciplines. Strong programming skills. Excellent writing and communication skills in English. Motivation to pursue a PhD. The selected candidate will be enrolled in the PhD programme in "BiologÃa Integrada" at the University of Seville. Desirable Spanish speaker Experience in Computer Vision and image analysis. Experience with machine/deep learning frameworks (e.g., PyTorch or TensorFlow). Knowledge of CNNs and/or Vision Transformers. Experience with biomedical or medical imaging data. Familiarity with Git, and scientific computing environments.
Benefits & conditions
Interested candidates should send: CV together with academic records. Short statement of research interests. Start date: Depending on the start date of the projects: "CSyC **- Proyectos FEDER (RPS **). Proyectos estratégicos en salud digital e inteligencia artificial". Presumably during **. #J-**-Ljbffr
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