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The successful applicant will be responsible for developing a strong research program integrating data science approaches (advanced statistical techniques, machine learning, deep learning, AI or similar), data management approaches (curation and publication of reference data sets), latest sensor technology, and/ or advanced modeling techniques for applications in agricultural sciences.
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We are seeking exceptional candidates with interests in a wide range of topics within the theoretical, machine learning, data visualization, and computational foundations of data science.
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The School of Medicine welcomes applications from outstanding scientists with international reputation in the fields of or related to biochemistry, genetics, cellular and molecular biology, genetics, data science and translational biomedical research.
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Associate of Science Degree in Computer Science, Life Sciences, Engineering, or similar discipline with 7+ years of experience in computer system validation activities in pharmaceutical, biotechnology, or related industry, preferably in FDregulated environments.
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These partnerships include collaborations and engagement with the Texas A&M Data Science Institute, the Global Cyber Research Institute, the Texas A&M Energy Institute, and the Smart Grid Center.
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The School welcomes applications from outstanding scientists with international reputation in the fields of or related to biochemistry, genetics, cellular and molecular biology, data science and translational biomedical research.
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ISEN faculty have strong collaborations with the Institute of Data Science ( , Center for Remote Health Technologies and Systems ( , Cybersecurity Center ( , Institute for Manufacturing Systems ( , and Bush Combat Development Complex.
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Strong knowledge of computer science fundamentals in data structures, algorithms, complexity analysis, databases and web technologies. Degree in Computer Science or related field. Proficient with tooling to enable SDLC (TFS, Visual Studio, etc.
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Associates Degree in Applied Science in electrical power distribution or a related technical field; and three (3) years of experience in electrical testing or electric substation work, or an equivalent combination of education and experience.
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Install, remove, maintain, operate, and test substation/switch station equipment, communications equipment, supervisory control and data acquisition equipment, and transmission/distribution metering equipment.
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The department has strong and vibrant research programs in Advanced Manufacturing, Data Science, Human and Health Systems Engineering (Human Factors and Ergonomics), and Operations Research.
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Stata is used by hundreds of thousands of researchers of all disciplines and provides features for all their data science needs: data manipulation, visualization, statistics, and automated reporting.
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The Senior Computerized Systems Validation Engineer, under general direction, will be responsible for oversight of all GxP-Regulated Computerized Systems at all applicable points of the computerized system lifecycle, ensuring compliance with regulatory requirements, Computer Systems Validation (CSV) and Lifecycle procedures with Data Integrity requirements.
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Areas of research include power and power electronics, information systems, computer architecture, analog and mixed signals circuits, biomedical imaging, and photonics and semiconductors, with ML/AI infused in several of these research areas.
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The CBGN Department, which includes the Institute of Regenerative Medicine, is located on the main Health Science Center campus in Bryan/College Station. The School of Medicine is the largest of five schools at the Texas A&M Health Science Center, which is based on the main university campus in Bryan/College Station, Texas and includes campuses distributed throughout the State of Texas.
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data science jobs in College Station, TX
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