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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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to the postdoctoral candidate. Participate and lead all aspects of the clinical trial research, including subject recruitment, scheduling, data collection, processing, and data dissemination. Ensure that all
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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, statistics, computational biology, or a related field; Strong programming skills in one of the traditional programming or scripting languages (R/Python/C++); Experience working in a Linux environment; A strong
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the Biosocial Research Collaborative. The fellow will contribute to several projects investigating how the social environment shapes biological processes of aging. One primary focus will be on an NIH-funded R01
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in the position and outline skills and experience that directly relate to this position. Job Summary The Speech Neurophysiology Lab is seeking candidates for a postdoctoral research fellow position in
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for appointments beginning in spring/summer of 2025. To be eligible for this fellowship, applicants must be citizens or noncitizen nationals of the United States or have been lawfully admitted for permanent
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highly proficient in other statistical programming languages, such as R. The PF will be granted time to pursue their own scholarly projects and will have an annual research budget to pay for the costs
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must. Excellent written and oral communication skills; The ability to conduct experiments independently or with supervision; The selected candidate will be responsible for accurate scientific research