28 electrical-machine-design-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Texas A&M University
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, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine learning, reinforcement learning, surrogate models
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digital PCR, multiplex assay design, or nanopore based detection. Experience working with laboratory animals, statistical methods, and bioinformatics. Experience working with maintenance of parasite life
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students. Designing novel experiments and concept in several basic, translational, and clinical projects in metabolic diseases and pregnancy disorders Good computer literacy including databases, standard
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Job Type Staff Job Description TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from 47
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CAREER project conducted in partnership with rural educators. The project co-designs locally meaningful investigations in which students use environmental sensors, real-world data, and carefully designed
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through which immune-brain interactions contribute to physiological and behavioral outcomes. Current research interests include understanding how traumatic stress influence's immune function and
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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/Resume. Required Education and Experience PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI
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Under general supervision, is responsible for conducting research into their field of expertise. Design research experiments. Writes and may contribute to research papers, articles, and publications
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with stakeholders. QUALIFICATIONS Doctoral degree in Computer Science, Electrical/Computer Engineering, or a closely related field. Foundation in network security for 5G/6G and O-RAN, including TLS 1.2