Memorial Sloan Kettering Cancer Center
Postdoctoral research fellow/associate in MRI research Department of Medical Phy
Memorial Sloan Kettering Cancer Center, New York, New York, us, 10261
Overview
About Us:
Memorial Sloan Kettering Cancer Center (MSK) is dedicated to ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. MSK supports translational and clinical research and trains the next generation of scientists and clinicians who pursue our mission at MSK and globally. Role Overview
The MRI group from the Cohen lab at Memorial Sloan Kettering Cancer Center (MSK) is offering a postdoctoral research fellow position in quantitative MRI and deep learning. The successful candidate will work under the supervision of Dr. Ouri Cohen. The main goal of the position is to develop quantitative MRI methods broadly applied to cancer diagnosis and response assessment. This may include pulse sequence programming, optimization, new deep learning approaches, and application of developed technology to clinical cancer cases in collaboration with MSK radiologists. Further information about the project is available at http://cohen-lab.org. The selected candidate will have the opportunity to work in a multidisciplinary group including physicists, engineers, computer scientists and clinicians in the departments of Medical Physics and Radiology at a leading clinical cancer research institution. Department Overview
The Department of Medical Physics comprises over eighty faculty physicists and computer scientists with support staff, collaborating with radiologists and other medical professionals on cancer diagnosis and therapy. Research programs include molecular, MR and CT imaging, theranostics, deep learning for image reconstruction, artificial intelligence, and radiotherapy physics. The Cohen lab has access to clinical MRI scanners, GPUs for image reconstruction and analysis, and collaboration opportunities within MSK’s imaging and theranostic efforts. Key Requirements
PhD in Physics, Engineering or Computer Science Background in MRI physics, optimization methods, deep learning Pulse sequence programming in GE EPIC is a plus Strong programming skills (Python, C/C++, Matlab, etc.) Excellent verbal and written communication skills Salary and Benefits
Salary: $72,000 - $93,730. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing near the MSK campus is available. Contact for Questions
If you have any questions about this job opportunity, please contact: Ouri Cohen, PhD at coheno1@mskcc.org. Closing and Equal Opportunity
MSK emphasizes fair, competitive pay and is an equal opportunity and affirmative action employer committed to diversity and inclusion. All qualified individuals are encouraged to apply and will be considered without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other protected characteristic. Federal law requires reasonable accommodation to qualified individuals with disabilities during the application process and employment. If you require accommodations, please indicate so in your application.
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About Us:
Memorial Sloan Kettering Cancer Center (MSK) is dedicated to ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. MSK supports translational and clinical research and trains the next generation of scientists and clinicians who pursue our mission at MSK and globally. Role Overview
The MRI group from the Cohen lab at Memorial Sloan Kettering Cancer Center (MSK) is offering a postdoctoral research fellow position in quantitative MRI and deep learning. The successful candidate will work under the supervision of Dr. Ouri Cohen. The main goal of the position is to develop quantitative MRI methods broadly applied to cancer diagnosis and response assessment. This may include pulse sequence programming, optimization, new deep learning approaches, and application of developed technology to clinical cancer cases in collaboration with MSK radiologists. Further information about the project is available at http://cohen-lab.org. The selected candidate will have the opportunity to work in a multidisciplinary group including physicists, engineers, computer scientists and clinicians in the departments of Medical Physics and Radiology at a leading clinical cancer research institution. Department Overview
The Department of Medical Physics comprises over eighty faculty physicists and computer scientists with support staff, collaborating with radiologists and other medical professionals on cancer diagnosis and therapy. Research programs include molecular, MR and CT imaging, theranostics, deep learning for image reconstruction, artificial intelligence, and radiotherapy physics. The Cohen lab has access to clinical MRI scanners, GPUs for image reconstruction and analysis, and collaboration opportunities within MSK’s imaging and theranostic efforts. Key Requirements
PhD in Physics, Engineering or Computer Science Background in MRI physics, optimization methods, deep learning Pulse sequence programming in GE EPIC is a plus Strong programming skills (Python, C/C++, Matlab, etc.) Excellent verbal and written communication skills Salary and Benefits
Salary: $72,000 - $93,730. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing near the MSK campus is available. Contact for Questions
If you have any questions about this job opportunity, please contact: Ouri Cohen, PhD at coheno1@mskcc.org. Closing and Equal Opportunity
MSK emphasizes fair, competitive pay and is an equal opportunity and affirmative action employer committed to diversity and inclusion. All qualified individuals are encouraged to apply and will be considered without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other protected characteristic. Federal law requires reasonable accommodation to qualified individuals with disabilities during the application process and employment. If you require accommodations, please indicate so in your application.
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