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Position Details Position Information Recruitment/Posting Title Temporary Research Assistant Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory) Department RWJ-Child Health
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Student Research Assistant Department
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Position Details Position Information Recruitment/Posting Title Temporary Research Assistant Job Category Staff & Executive - Research Support (Laboratory/Non-Laboratory) Department RWJ-Child Health
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-person on the UT-Dallas Richardson campus. Weekend and evening hours will be needed during later phases of data collection in families' homes; although, the lab coordinator has flexibility in creating
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status
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psychology lab or other clinical sciences after graduation. Experience interfacing with children and adolescents, preferably in clinical settings. Experience with data management, statistical software (e.g., R
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management skills, the ability to multitask and meet deadlines in a high volume, changing environment Attention to detail and the ability to maintain the accuracy of information from a variety of sources Good
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, or similar platforms Ability to follow direction and work with minimal supervision when needed Ability to maintain confidentiality with sensitive information Clear and concise communication skills, both verbal
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, including: (i) estimating heterogeneous effects using RDD and causal machine learning methods; (ii) modeling dynamic longitudinal health data; and (iii) developing and refining statistical models and tools