479 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Texas at Austin
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) mentored training program for pharmacists with a strong interest in pursuing careers in pharmacy education. The program will provide extensive experiences in classroom and experiential teaching, educational
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is a school-based program for students in eighth through 12th grades to learn about and explore the topic of mental health. This position has an end date of 5/31/2027, but may be renewable based upon
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the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and engineering education for over a century. With 11
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Michaelis–Menten modeling and inhibition studies. Analytical, Computational & Data Analysis: Mass spectrometry (LC-MS/MS, MALDI-TOF), HPLC, structural visualization (PyMOL), and quantitative data analysis
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. This position will contribute to the School’s educational mission and student support initiatives by integrating teaching, program development, and interdisciplinary collaboration. Working closely with
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Intelligence, Preparedness & Program Support Monitor global events, prominent health and safety issues, and legal developments affecting international higher education; translate identified issues
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to creating this new interdisciplinary institute for advancing translational and clinical neurosciences and neuroengineering.We areseeking a leader whoseresearchprogramcombines computational, engineering, and
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maintain system software for large and small computer networked and sonar systems for the Advanced Technology Laboratory (ATL). Responsibilities Design and develop high performance, systems-based software in
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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interested in applicants who will be running an ambitious research program by integrating state-of-the-art approaches of molecular and cell biology, genetics, genomic/epigenomic, single cell/spatial biology