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collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training data to test environments, which is necessary to resolve distribution shifts, hidden confounders
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Video Sensorization for Secure Healthcare Monitoring (SViSenS) project, which develops privacy-preserving, AI-driven video-based monitoring technologies for healthcare. Your responsibilities include: You
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
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