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Field
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of transformative therapeutic approaches for brain tumor patients. ESSENTIAL FUNCTIONS Technology and Methodology Development: Independently develop and optimize novel technologies and analytical methods, including
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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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techniques. The research will integrate ab initio-based modeling and DFT calculations with experimental data to enhance the understanding and optimization of the proposed materials as sorbents or possible
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culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal
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: Optimize Retrieval-Augmented Generation (RAG) techniques to improve the relevance and contextual accuracy of LLM-generated content. Explore and apply multimodal LLMs capable of effectively processing and
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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modeling tools to support outbreak response, optimal vaccine strategies, and understanding key epidemiologic questions. This NIH-funded project is conducted in collaboration with the California Department
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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- and socially- vulnerable populations and/or b) improving healthcare delivery (i.e., from providers and within the medical system) to optimize healthcare outcomes of women with uterine fibroids
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with optimization techniques and accelerated computing are a plus for this position. Strong written and spoken English skills are required. The successful candidate will: (1) develop novel methodologies