45 computational-complexity-"U.S"-"U.S" Postdoctoral research jobs at Texas A&M University
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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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computational platforms (e.g., COMSOL) to simulate complex membrane systems. Strong publication record in membrane mechanics. Knowledge, Skills, and Abilities Excellent analytical and mathematical skills
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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and platinum complexes with long carbon chains. Collect spectroscopic data (NMR, IR, UV/Visible, etc). Collect and interpret crystallographic data, and undertake physical measurements. Participate in
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. Schedule: May require working evening and/or weekend hours to complete complex experiments. What You Need to Do: Apply! Submitting a cover letter and resume is strongly recommended and will help us with the
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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models, attention mechanisms, and foundation models. 3) Time-Series Analysis : Specializing in modeling, forecasting, and anomaly detection to address complex real-world challenges. The successful
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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program. We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events
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immunological data with techniques such as flow cytometry and qPCR Ability to interpret and present complex scientific data orally and in writing Strong organizational skills to manage experimental timelines and