What are the responsibilities and job description for the Postdoctoral Fellow - Imaging Physics position at MD Anderson Cancer Center and Careers?
A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Kristy Brock, Ph.D.
The Morfeus Lab at MD Anderson ( https://www.mdanderson.org/research/departments-labs-institutes/labs/morfeus-laboratory.html) is led by Dr. Kristy Brock. Our research is focused on the development and application of deformable image registration algorithms, artificial intelligence (AI) algorithms, biomechanical modeling, and image guided cancer therapy technologies for strategic research collaborations and clinical translation. Our lab is a highly collaborative research training environment in a state-of-the-art imaging facility and world class resources. Ongoing projects seeking postdocs include:
1) Image-guided liver surgery
2) Image-guided head and neck surgery
3) Cancer risk assessment and outcomes prediction using artificial intelligence
4) Validating in vivo imaging signals using correlative pathology
5) Image-guided focal liver ablation
6) Dose accumulation for personalized adaptive radiation therapy
LEARNING OBJECTIVES
This postdoctoral fellow will engage in computational research projects in image guided cancer therapy, including research, design, and implementation of deformable image registration, biomechanical modeling, and artificial intelligence technologies. The fellow will expand their knowledge and skills in imaging physics, data mining, predictive modeling, clustering, and classification and will develop, train, and apply deep learning in large data environments. The fellow will help to guide research and clinical collaborations and work with collaborators to integrate image guided cancer therapy models and technologies into the clinical workflow. They will collaborate and coordinate with research and clinical stakeholders and communicate findings via abstracts, poster and podium presentations, and publications.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a PhD in one of the natural sciences, computer sciences, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, statistical modeling, biomechanical modeling, or image registration and analysis is preferred.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
The Morfeus Lab at MD Anderson ( https://www.mdanderson.org/research/departments-labs-institutes/labs/morfeus-laboratory.html) is led by Dr. Kristy Brock. Our research is focused on the development and application of deformable image registration algorithms, artificial intelligence (AI) algorithms, biomechanical modeling, and image guided cancer therapy technologies for strategic research collaborations and clinical translation. Our lab is a highly collaborative research training environment in a state-of-the-art imaging facility and world class resources. Ongoing projects seeking postdocs include:
1) Image-guided liver surgery
2) Image-guided head and neck surgery
3) Cancer risk assessment and outcomes prediction using artificial intelligence
4) Validating in vivo imaging signals using correlative pathology
5) Image-guided focal liver ablation
6) Dose accumulation for personalized adaptive radiation therapy
LEARNING OBJECTIVES
This postdoctoral fellow will engage in computational research projects in image guided cancer therapy, including research, design, and implementation of deformable image registration, biomechanical modeling, and artificial intelligence technologies. The fellow will expand their knowledge and skills in imaging physics, data mining, predictive modeling, clustering, and classification and will develop, train, and apply deep learning in large data environments. The fellow will help to guide research and clinical collaborations and work with collaborators to integrate image guided cancer therapy models and technologies into the clinical workflow. They will collaborate and coordinate with research and clinical stakeholders and communicate findings via abstracts, poster and podium presentations, and publications.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a PhD in one of the natural sciences, computer sciences, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, statistical modeling, biomechanical modeling, or image registration and analysis is preferred.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
FACULTY MENTOR
Dr. Kristy Brock