We are recruiting participants for an interview study, where you will discuss how you would prepare a dataset, though no actual coding will occur. Study Title: Characterization of Approaches to Data Augmentation IRB Study Number: University of Chicago IRB23-1877 Researcher(s): Blase Ur, Alex Kale, Kevin Bryson Eligibility Criteria: Live in the United States and are over the age of 18. AND 1 or more of the following Experience working as a Data Scientist, Data Analyst, Data Engineer, or similar position. OR Experience working as a Machine Learning Engineer, Machine Learning Researcher, or similar position. OR Experience with data analysis, cleaning, and processing data. If you qualify, we will send a message to share further details about the study, inviting you to a one hour remote interview, for which you will be compensated $50.
Keyword: Data Analysis
Price: $50.0
Data Analysis Data Science Python Scikit-Learn pandas R Machine Learning
We're looking for someone who's detail oriented to help our health education company make our written patient handouts easier to find in EHR systems like EPIC. Your main job will be to go through our current list of topics and ICD-10 codes, review codes listed, and add ...
View JobThis is for a video art installation project. We have a sound sample of an actor humming and we want to extend it using any AI tool available. We want to either choose the notes or have another sample voiced by different person as prompt.
View JobNeed a com-check energy report for a commercial building undergoing a change of use. reference materials to use for report * dwg cad file *pdf blueprints
View Job