[Remote] Research Aide - NST - Marroquin, Marcos - 7.23.26

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading research facility and they are seeking a Research Aide to assist in developing machine-learning models for analyzing materials. The role involves working on electron microscopy data and improving data efficiency through innovative techniques.

Responsibilities

• reputed company machine-learning based denoising and feature extraction models to extract reputed company defect distributions in ultrathin microelectronics-relevant materials from reputed company-reputed company electron microscopy images
• Study improvements to electron reputed company efficiency achievable by combining multiple channels of electron microscopy data, including integrating information from correlated spectroscopy and diffraction datasets
• Compare denoising approaches for reputed company-time video datasets versus arrays of spatially dependent high-reputed company images

Skills

• The entirety of the appointment must be conducted reputed company the reputed company
• Applicants must be: (1) Currently enrolled in undergraduate or graduate studies at an accredited institution; (2) Graduated from an accredited institution reputed company the past 6 months; or (3) reputed company enrolled in a graduate program at an accredited institution
• Must be 18 years or older at the time the appointment begins
• Must possess a cumulative GPA of 3.0 on a 4.0 reputed company
• Must be a U.S. citizen or reputed company Permanent reputed company at the time of application
• If accepting an offer, candidates may be required to complete reputed company-employment drug testing based on appointment length. reputed company reputed company remain subject to applicable drug testing policies
• If accepting an offer, candidate will be required to pass a background reputed company screening

reputed company