60 web-programmer-developer "PhD Jobs.NET" Postdoctoral positions at Texas A&M University
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The Postdoctoral Research Associate will conduct advanced research in salinity gradient (“blue energy”) harvesting and vibration-based energy harvesting, focusing on developing next-generation self-powered sensing
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course in Texas A&M's acclaimed undergraduate engineering ethics program and contribute to the organization of programming associated with the Bovay Endowed Chair of History and Ethics of Professional
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is committed to giving back to society through our extensive outreach program. We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration
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for CCI and current/future LAr detectors. Participate in professional development and mentorship of students. Facilitate experimental collaboration meetings, lab management, and experimental site
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pathogens preferred. Responsibilities Research Conducts independent research on mycobacterial, viral, and other respiratory pathogens, and publication of results. Designs, develops, and conducts research
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to co-occurring PTSD and SUD. Opportunities to Contribute Lead and assist with grant submissions and peer-reviewed publications, contributing to the development of competitive research proposals. Support
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. Our faculty perform cutting-edge research in a wide array of biological sciences in the laboratory and in the field. Our graduate research programs prepare scientists for careers in academia, industry
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RNA-seq, ATAC-seq, and ChIP-seq. Experience in working with high-performance computing environment. Experience in data management and developing data-processing pipelines. Proficiency in programming
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Here’s a Glimpse of the Job The Postdoctoral Research Associate will conduct and publish original research on visual attention under the supervision of the PI. Key responsibilities include developing
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, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception