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position in the Fast Sensors R&D group at SCIPP. As a leading academic facility for R&D in sensor and detection system design, SCIPP has made major contributions to particle detector development. The group’s
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of research studies through scientific journal articles and conference presentations. Assist in developing and adapting cognitive neuroscience studies. Work with the research team to ensure compliance with
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, Dr. Reynold Panettieri. RITMS plays a pivotal role in bridging the gap between basic and clinical research, which focuses on developing safer and more effective therapeutics. Through cutting-edge
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using cellular and animal models, validation of the clinical relevance of these findings using multi-omics datasets in established human cohorts, and exploration of upcycling strategies to develop health
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experimental results is essential. In addition to experimental research and contributions to maintaining the laboratory, the Postdoctoral Associate will be expected to prepare manuscripts for publication
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and/or vision science Experience with Javascript, development of web apps and database architecture is a plus but not required Desire to work in a fast paced, collaborative team-science environment
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of the Postdoctoral Associate is to investigate of the role of neural activity in guiding and initiating motor actions. The Oldenburg Lab uses and develops advanced microscopy techniques, including multiphoton
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the following web site: http://eeb.ku.edu/faculty . If you are interested in a postdoctoral position with an EEB faculty member, please contact the faculty member directly to inquire about opportunities in
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, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune cells. Our research focuses on development and function of novel
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep