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will work with tools such as AlphaFold and RosettaFold-diffusion and apply deep learning to address the next challenges in dynamics and the design of novel protein-based therapeutics. As postdoc, you
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of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large
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: Verifiable world models. The research will focus on developing a new class of structured, verifiable world models that integrate the flexibility of deep learning with the rigor of formal methods and
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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and tradition. Renowned for hands-on learning and pioneering research, Mines educates future leaders in STEM fields who will make a meaningful impact on the world. Our vibrant community of supportive
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 2 months ago
with expertise in medical image processing—particularly registration and segmentation—and proven experience in deep learning, with a focus on ultrasound imaging. Prostate cancer diagnosis relies
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intelligence or related areas such as deep learning and decision support systems. Candidates with a background in other areas such as the application of data analytics in healthcare and biomedical applications
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, and contributing to grant applications. The post offers opportunities to work with international research groups and contribute to open-source bioinformatics tools. Experience with deep learning
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 13 days ago
to motion and respiration. Over the past years, we led several works in this area. Particularly, we developed several deep learning models for the segmentation of SC lesions either from T2 sagittal MRI
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areas such as deep learning and decision support systems. Candidates with a background in other areas such as the application of data analytics in healthcare and biomedical applications will also be