Sort by
Refine Your Search
-
written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications
-
stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG (ECoG, SEEG) data from animals and humans. Perform advanced signal processing and time–frequency
-
materials chemistry and surface science, with a focus on the development, operation, and analysis of specialized physical characterization techniques. Position Status Full Time Posting Number 26FA0156 Posting
-
proficiency in MS-office applications required. Requires knowledge of Microsoft office and other computer related skills. Command of the English language must be at a skill level necessary to produce materials
-
literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Prior research experience preferred. Basic
-
, NJ). Performs data management and processing workflows. Maintains research image archives. Generates orthomosaics. Organizes and backs up large geospatial datasets. Operates software pipelines
-
include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
-
advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
-
this position. WORK ENVIRONMENT: The candidate will work primarily in Newark, NJ and/or New Brunswick, NJ with some remote flexibility. Candidate will have access to a standard computer, phone, and internet
-
undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets