40 postdoctoral-human-computer-interaction Postdoctoral positions at University of Miami
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expression analysis and auditory physiological evaluation of identified genes in inner ears in mouse models of human genetic deafness. Conducting functional characterization in animal models and organoids
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-level policies and procedures and safeguards University assets. Department Specific Functions The Post Doctoral Scholar will be part of an NIH-funded training program designed to provide rigorous research
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required (e.g. proficiency in R, SAS, or SPSS). Knowledge, Skills and Attitudes: Ability to analyze a data set. Ability to create and conduct data analysis plans and interaction models. Skilled in writing
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and immunological methodologies. The neuroimaging program features high-resolution data acquisition and analysis techniques modeled on the Human Connectome Project (HCP) and is committed to the highest
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research accomplishments in a cover letter and areas that interest you for your postdoctoral work. 1. Conducts research on specific areas of study as assigned. 2. Prepares research reports and technical
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laboratory equipment for human neurophysiology and computer programming experience with Matlab is advantageous, but everyone is encouraged to apply. Knowledge, Skills and Attitudes: Skill in collecting
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-level policies and procedures and safeguards University assets. Department Specific Functions: Lead and oversee program implementation and data collection procedures for research studies Design, manage
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The department of Informatics and Health Data Science has an exciting opportunity for a full-time Post
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methodologies. The neuroimaging program features high-resolution data acquisition and analysis techniques modeled on the Human Connectome Project (HCP) and is committed to the highest standards for magnetic
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning