124 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at Rutgers University
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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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presentations at conferences. They will prepare manuscripts based on their research, aid in developing the PI’s grant applications, and will be expected to apply for personal grant funding. Multiple resources
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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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that the research findings will be provided as preliminary data for grant proposals, with the individual contributing to the writing and production of such proposals. 15% Train and oversee undergraduate researchers
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provide professional scientific expertise and technical support in the planning and execution of projects related to research and process development. Among the key duties of this position are the following
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brain and human neurons derived from human tissue. The Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations at conferences. Incumbent will prepare manuscripts
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-physiological experiments. The Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations at conferences. They will prepare manuscripts based on their research, aid in
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findings in journal and conferences. The candidate will also assist in the development and writing of research proposals for external funding. Position Status Full Time Posting Number 24FA0811 Posting Open
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and under his supervision make changes in the experimental design in a timely manner. Being able to work independently with minimum supervision and being able to train and supervise undergraduate and
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective