54 computational-complexity-"Prof"-"Prof" Postdoctoral positions at Texas A&M University
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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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chemical biology and sequencing-based approaches to understand how RNA structure and dynamics regulate protein recognition. The associate will play a key role in advancing the lab’s research program by
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Ph.D. in Geosciences or a related field. Preferred Qualifications: Prior experience in river modeling, river-lake network analysis and biogeochemistry. Demonstrated ability to solve complex differential
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. Knowledge, Skills, and Abilities Knowledge of computers and computer software related to data analyses. Knowledge of laboratory maintenance and equipment. Ability to work in BL2 laboratories Ability to work
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Abilities Knowledge of computers and computer software related to the position Knowledge of laboratory maintenance and equipment Attention to detail Excellent verbal and written skills. Presentation skills
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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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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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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 built by employees, for employees Instructions
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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