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Field
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the underlying architecture and causal factors of human diseases such as cancer, aging related outcomes and sepsis. Key responsibilities for the postdoctoral associate position include methodology and software
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO
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trustworthy AI for science. At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components: scientific data orchestration and knowledge graphs architecture and
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role in developing and applying advanced AI foundation models to decode cellular architecture and understand how genetic variation shapes cellular phenotypes and complex human traits. The role will
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College of Architecture, Art, and Planning at Cornell University (Cornell AAP)invites applications for a Postdoctoral Associate as part of the Center’s High Impact Initiative on Just and Equitable Cities We
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Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and interpretable AI methods (SHAP, Integrated
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high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication. Key activities can include: Demonstration and experimental
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from visible to telecom wavelengths Implement and test scalable readout architectures for nanowire arrays, including multiplexing concepts based on superconducting cryogenic switches (hTron, fTron
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candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless