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biomedical science. Consideration to interview will also be given to applicants who are in the process of completing their PhD or equivalent doctorate degree in Cancer Biology, Precision Cancer Medicine, or a
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given to applicants who are in the process of completing their Ph.D. or M.D. degree. Documentation of Ph.D. or M.D. degree completion must be provided prior to commencement of employment. Certifications
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in data processing. FLSA Exempt Grade Salary Details Minimum Salary 20,000 Mid Range Salary 90,000 Maximum Salary 200,000 Offer Information The final salary offer may be determined by several factors
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research processes and procedures in the laboratory. Assists in the acquisition and analysis of data. Supports the Principal Investigator’s plans, developments, and implementations of laboratory and research
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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
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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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
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discipline required. Consideration to interview will also be given to applicants who are in the process of completing their Ph.D. degree. Documentation of Ph.D. degree completion must be provided prior to commencement
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composites and develop science; and engineering methods for designing, scaling, optimizing and controlling relevant manufacturing processes. These positions will be based at the Rutgers’ School of Engineering
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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