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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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the neural basis of flexible cognition. From basic functional circuit dissection in animals to human clinical studies, we ask how network disruptions cause cognitive deficits in neuropsychiatric disorders like
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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data collected longitudinally across the post-infection study time course to optimize machine learning methods that predict disease outcomes and identify host factors and interactions that most heavily
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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
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, chromatin profiling, genomics, spatial transcriptomics and single-cell data. Apply statistical, machine learning, and network-based approaches to analyze high-dimensional biological data. Collaborate closely
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communications, non-terrestrial and UAV networks, physical layer security, quantum-enabled communications, semantic and AI-native wireless systems, and energy-efficient/low-power communication. Our vision is to
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position is limited to 3 years and is starting no later than February 1, 2027. The position is part of the Max Planck Artificial Intelligence Network . Under the supervision of Prof. Iyad Rahwan, your
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UiB", funded by the Trond Mohn Foundation and the University of Bergen, will serve as a hub for excellence in quantum research and foster new collaboration. The Quantum Oscillator Networks