11 parallel-computing-"INSERM" Postdoctoral positions at University of Texas at Arlington
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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at Arlington is one of the most prestigious schools for Social Work in the nation and has the most diverse program offerings in Texas. The UTA School of Social Work ranks in the 96th percentile for overall
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of federally funded research and personnel preparation grants currently awarded to the University of Texas at Arlington College of Education, Teacher and Administration department, Special Education Program
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, and machine learning, the program prepares graduates to drive progress in fields like renewable energy, 5G, cyber-physical systems, and smart infrastructure. University Information The University
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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of federally funded research and personnel preparation grants currently awarded to the University of Texas at Arlington College of Education, Curriculum and Instruction Department, Special Education Program
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biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Preferred Qualifications Doctor degree in biomedical engineering, electrical engineering, computer
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. graduate degrees in Earth and Environmental Sciences. Information on the EES program can be found at https://www.uta.edu/academics/schools-colleges/science/departments/ees . The Shimadzu Center
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schools for Social Work in the nation and has the most diverse program offerings in Texas. The UTA School of Social Work ranks in the 96th percentile for overall research productivity among social work