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Field
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approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and automate
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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 17 hours ago
future government, industry, or academic positions. In this fellowship, you will have opportunities to: Learn to optimize the co-culture system using flow cytometry, immunofluorescence, and microelectrode
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systems for optimizing adaptive, temporal, high-dimensional systems Data: Real-World Multi-Modal Patient Data: Multimodal biomedical data (omics, medical images, histopathology, single cell/bulk, spatial
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therapeutic targets associated with the response to new antitumor agents. Participation is also expected in the implementation and optimization of experimental methodologies, the integrated processing and
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in peer-reviewed journals Train and mentor undergraduate students and research assistants Develop, optimize, and document experimental protocols Required Qualifications: D. in biomedical sciences with
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environments Optimize scene graphs, memory management, asset streaming, and runtime performance Contribute to research proposals and peer-reviewed publications Generative AI Integration Generative scene
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the research area where required. Lead the synthesis, functionalization, and intercalation of graphene and graphene-oxide materials including optimizing morphology, defect chemistry, and interlayer spacing
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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optimally interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates