Working under general supervision from lab members, will actively apply image processing techniques such as lesion segmentation, image registration, multimodal fusion, and convolutional neural networks on neuroimaging data to investigate biomarkers. Candidate will participate in ongoing experiments, collaborate with researchers, contribute to discussions, and assist with data management. This is a great opportunity for a master's student who is looking for research experience.

Qualifications

PRINCIPAL DUTIES AND RESPONSIBILITIES:

1. To apply convolutional neural network model on longitudinal neuroimaging data for feature extraction

2. To assist in data management of multi-site and multi-visit imaging and research data

3. To prepare reports and presentations for knowledge dissementation

QUALIFICATIONS:

• Enrolled in a Bachelor degree in Engineering or Computer Science program

• Previous experience with deep learning model

SKILLS/ABILITIES/COMPETENCIES REQUIRED:

• Ability to work well independently.

• Excellent interpersonal skills to be able to interact with other researcher

• Strong team player and can communicate well within an interdisciplinary team.

• High level of organizational skills with strong attention to detail.

• Ability to follow direction

WORKING CONDITIONS:

Normal laboratory environment.

EEO Statement

BWH is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.