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Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications
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interpretable, reliable, and scalable ML methods, neural quantum states, understanding the simplicity bias of overparameterized neural networks, or applying them to quantum systems, such as ultracold quantum
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neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets
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research community Experience and networks within Technology and Platform companies will be a valued asset The Department The Department of Management, Society and Communication (MSC) brings together
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available: Chr. Michelsen Institute (CMI) currently has two vacancies for two postdoctoral researchers with an interest in cross-disciplinary work and expertise and knowledge of fresh groundwater networks
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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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models for each study site, informed by sensor networks and image-based observations. Conduct cross-disciplinary geospatial analyses linking modeled flooding patterns with soil pathogen and participant
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encouraged and supported to develop career skills, including writing, public speaking, networking, and applying for independent fellowships and grants. Training will be provided in disciplines with which
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management Cognitive radio or adaptive communication systems, including dynamic spectrum access, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep
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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess