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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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existing algorithms and design improved methodologies for clinical applications. Purpose To support research in AI for healthcare and drug discovery by conducting data-driven experiments and developing
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aimed at advancing diagnostic frameworks and therapeutic discovery through data processing and model development. The prospective candidate will work with medical imaging, speech recordings, and molecular
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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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researchers working alongside community-based and municipal partners to develop solutions for mitigating climate threats and adapting to present and future challenges. Compounding the impacts of the climate
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and municipal partners to develop solutions for mitigating climate threats and adapting to present and future challenges. Compounding the impacts of the climate crisis, by 2050, Texas's population is
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historical and future hydroclimate extremes. The work will involve developing new theoretical frameworks and methodologies for attributing aerosol-driven hydroclimate hazards, analyzing the confounding effects
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academic institutions. Our mission is to develop and execute a state-of-the-art 3D Heterogenous Integration manufacturing technology roadmap, and to provide critical pilot manufacturing capabilities
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system data into a common spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical