Postdoctoral Fellow - Radiation Physics - Research
at MD Anderson Cancer Center
Houston, TX 77030, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 23 Oct, 2024 | USD 68604 Annual | 24 Jul, 2024 | N/A | Natural Language Processing,Annotation,Machine Learning,Data Analysis,Computer Vision,Data Processing,Research,Opencv,Information Science,Communication Skills,Artificial Intelligence,Presentations,Scikit Learn,Data Cleaning,Computer Science | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
The MD Anderson Proton Therapy Center seeks a highly motivated postdoctoral fellow to join our team and conduct cancer-related research at the University of Texas MD Anderson Cancer Center. This position will focus on NIH-funded basic research to enhance patient survival rates using advanced pathology and radiology imaging for various types of cancer.
The Postdoctoral Fellow will analyze and process radiation and pathology images; develop and translate state-of-the-art Deep Learning/Machine Learning methods into real clinical applications; improve and accelerate existing DL/ML methods on High-Performance Computer systems; and develop and enhance computational tools. The candidate is expected to work independently on advancing tumor registration, segmentation, dose distribution prediction, automated treatment planning, and other tasks.
ELIGIBILITY REQUIREMENTS
- Ph.D. Degree in Computer Science or related field focusing on data analysis, information science, high-performance computing, computer vision, machine learning, or artificial intelligence.
- Strong background in computer vision, machine learning, data cleaning, data analysis, data processing, or HPC systems.
- Demonstrated experience driving research in and applying Computer Vision techniques (e.g., Transformers, CNNs, RNNs, GANs) is required.
- Proven expertise in modern image analysis techniques (e.g., foundation models, transformers, self-supervised learning) is required.
- Hands-on experience in ML techniques, algorithms, off-the-shelf packages such as OpenCV, SciKit-Learn, and Pytorch, and development environments (Liunx).
- Experience with large-scale dataset collection, annotation, and curation.
- Experience with HPC systems.
- Background in natural language processing.
- Strong written and oral communication skills, including developing and delivering presentations, proposals, and technical documents.
- Strong ability to work both independently and in a team environment.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Hospital/Health Care
Pharma / Biotech / Healthcare / Medical / R&D
Health Care
Graduate
Computer Science
Proficient
1
Houston, TX 77030, USA