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Field
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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Description Glimpse of the Job Are you passionate about research in astronomy and physics? The Department of Astronomy and Physics at Texas A&M University is seeking multiple dedicated Postdoctoral Research
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investigator and lab members to discuss ongoing projects and results. University: Regular contact with collaborators across multiple departments and centers within the university. Occasional communication with
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processing and EF, does one factor or multiple independent factors contribute to differences in reading ability? Are measures of visual processing and EF useful additions to conventional dyslexia screening in
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older adults, participating in multiple projects that employ advanced functional magnetic resonance imaging (fMRI) techniques to investigate brain network mechanisms underlying diverse grief trajectories
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: Proficiency in algorithm development for autonomous systems. Experience with ROS2, UAV simulation (e.g., AirSim), and real-time system integration. Strong programming skills in C++ and Python. Excellent
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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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studies that extend across multiple scales. The Pioneer Center Land-CRAFT was established in June 2022 to undertake fundamental and applied research from field to landscape scales that will address
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open access of datasets. Key Responsibilities Develop and implement data management strategies to support research activities across multiple institutions. Collaborate with researchers to establish data