62 high-performance-computing Postdoctoral positions at Texas A&M University in Ireland-University-Ranking-2024
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Description Here’s a Glimpse of the Job Texas A&M’s Department of Statistics is seeking a Postdoctoral Research Associate to develop advanced computational methods and collaborate with life science researchers
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contribute to cutting-edge genomics research. In this role, you will apply your expertise in molecular biology and computational genomics to support advanced research initiatives, with a primary focus on
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. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence
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contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance What You Need to Do: Select the Apply button to begin your application. Submitting a cover
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disease processes. Perform rodent surgical procedures and provide postoperative monitoring and care. Conduct physiological, immunological, molecular, and behavioral experiments using established and
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, high energy physics, nuclear physics, and related areas. We offer our students a variety of graduate and undergraduate degree options. Many more students from all disciplines receive basic training in
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, outreach events, and lab tours. Other: 5% Perform other duties as assigned QUALIFICATIONS Doctoral degree in Robotics, Electrical Engineering, Computer Science, or a closely related field. Demonstrated
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Neptune or Neptune Plus multi-collector ICP-MS, including tuning, cup configuration, and routine maintenance. Familiarity with medium- or high-mass-resolution MC-ICP-MS operation to resolve polyatomic
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to advance translational objectives. Utilizes knowledge and skills granted to them by their education and expertise to complete research projects in their field of expertise. Develops, adapts, and performs
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Research Associate will design and perform infection and time-course experiments, generate and analyze host and bacterial transcriptomic data, and integrate phenotypic outcomes with differential gene