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Field
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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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training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD
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, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range
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- $26.44 The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University
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for motion control, and monitoring sensors. Job Requirements BS in Electrical and Electronic Engineering, Mechanical Engineering, computer engineering, or related field 4-year research experience in related
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publications and presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages
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or depth of knowledge in the discipline and of research methods and techniques to provide research assistance to the project. Please see the Job Description for further details on these posts. The University
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integrating large complex datasets is likewise essential as is training in Bayesian sample assessment methods. The post is based in UCC and requires the successful candidate to work closely and in person with
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to Research Ethics requirements. Proficiency with computer applications such as word processing and spreadsheet software (SPSS, Microsoft Word, Excel), and internet applications and tools. Ability to administer
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to younger and older adults. In addition, the post-holder will help with organising lab administration. Previous experience with neuropsychological testing and strong computer skills (e.g., MS Office, R