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they are compensated. Please add in your program & position-specific information here. Job Duties 50% Plan, develop, and implement innovative and collaborative research objectives for the intermediate wheatgrass
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data. 15% Presentation and Publication of Data Attend and contribute to regular lab meetings and communicate regularly with the PI. Communicate research findings through presentation at scientific
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development and correspondence. Responsibilities also include scheduling and overseeing the data safety monitoring board (DSMB), the monitoring and reporting adverse events, and managing unanticipated problems
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judgments and human fMRI and M/EEG data, shedding light on how changes in circuit structure result in aberrant perception in mental disorders. The successful candidate will work with a team of theorists and
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required, you will be expected to prepare manuscripts for submission to scientific journals and present at scientific meetings. 35% Detailed documentation of procedures and experimental data is expected
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immunocytochemistry, high pressure liquid chromatography and mass spectrometry, tissue DNA extraction, quantitative PCR studies, etc. o Develop data collection tools and collect data required by the study plan, e.g
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to gaining a better understanding of neuronal cell types and circuits in health and pathophysiology, including in temporal lobe epilepsy. You will be responsible for key aspects of the project, including data
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participants at local and partner sites Specific Rating Duties: ● Complete study specific rater training to ensure integrity of data ● Attend all scheduled rater phone calls and complete interviews as required
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-trained and interested in expanding their scientific skills related to skeletal muscle physiology. The candidate will be responsible for coordinating studies, and participate in and supervise data
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implementation of various projects, including (but not limited to) scaling, algorithm development, scaled score development and documentation. Support the creation, management, and retention of large-scale data