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mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class
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this diversity. Our research spans comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced
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reefs. The campus is striking architecturally, and the facilities are outstanding (OIST campus video tour ). There are no academic departments, which facilitates multidisciplinary research. Outstanding
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• Exploration of dielectric-based resonant and non-resonant nanophotonic architectures compatible with large-area fabrication • Demonstration of prototype metasurface devices combining optical selectivity
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resilience. Objectives: To advance understanding of how soil management practices may influence root system architecture, resource-use efficiency, and plant resilience under compacted or suboptimal soil
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approaches to root system architecture, in order to identify the tradeoffs governing root plasticity in response to development and environmental conditions. - activities: The ppostdoc will contribute
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is suitable for industrially scalable dry electrode processing. The successful candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while
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optical phenomena in time-varying and nonlinear photonic systems, with a particular focus on advanced material platforms and integrated device architectures. The role requires a strong theoretical
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of hybrid foundation model-graph neural network architectures for gene perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g
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Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings