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complement system, modulates the severity of bacterial pneumonia. The overarching goal of our research program is to determine how epithelial cell-derived proteins can be harnessed to mitigate the risk of
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc
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. The successful candidate will support a broader research initiative focused on computational chemistry for sustainable energy solutions, including the development and application of Drude polarizable force fields
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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Job Title Postdoctoral Research Associate in Computational Geophysics Agency Texas A&M University Department Geology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
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available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in vitro
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research objectives, under the direction of a supervisor. Demonstrated expertise in hydrologic, water quality, crop, and ecosystem modeling. Strong computer and statistical programming skills, with