52 parallel-computing-numerical-methods Postdoctoral positions at Texas A&M University
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are As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through
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) years of related work experience. Experience developing machine learning methods. Experience writing, submitting, and editing peer reviewed publications. Expertise in computer science applications
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. The primary modeling tool will be SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model), an open-sourced ocean modeling system that has been widely used in numerous ocean forecasting products
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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continuing dental education. As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes
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our extensive outreach 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
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support to attend conferences, workshops, and more Educational release time and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been
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Research Associate will also be playing a supporting role in ongoing research projects and assisting with the mentorship of junior lab members. Opportunities to Contribute Design and program experiments
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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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, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python. 1–2 years of hands