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Post Doctoral Opportunity in UCSF Radiation Oncology
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
Post Doctoral Opportunity in UCSF Radiation Oncology
Location : San Francisco, CA, United States
Job Posted Date : November 28, 2023
The Nano Lab research group within the Department of Radiation Oncology at the University of California, San Francisco (UCSF) has two openings for postdoctoral research associates.
The appointees will conduct research and development on novel devices and methods for general imaging physics, surface guided imaging, x-ray imaging, MR imaging and nuclear imaging that are being developed for radiation therapy with photons, protons, and other particles.
For algorithm developers, the main objectives of this research group include modeling novel imaging systems, image processing and analysis, and developing new software applications for use with currently developed algorithms.
For hardware developers, the main objectives of this research group include designing, manufacturing, and testing new imaging system prototypes or modifying existing systems.
Why you should consider working with The Nano Lab @ UCSF :
UCSF has a strong community of scholarly support, and the salary for this position is commensurate with experience and adjustment for the San Francisco Bay area.
Additional to the housing supplement included in your contract, UCSF provides housing support and resources that further enhance living in the Bay Area.
Please do not hesitate to ask questions regarding work-life balance and cost of living.
The successful candidate will have most of these qualifications :
- Ph.D. in physics (applied, bio, nuclear, med) or engineering (bio, mech, electr) or associated fields.
- Ability to work on-site and remotely as needed by the project PIs and collaborators.
- Strong emphasis on theoretical and experimental development of imaging physics.
- Considerable knowledge and experience in laboratory skills and / or numerical analysis.
- Considerable knowledge in one or more of these medical imaging areas : surface imaging using optical cameras, planar x-ray imaging, CT and micro-CT, MR imaging, and nuclear imaging.
- Considerable knowledge on image processing methods and ability to run image processing tools.
- Considerable knowledge on modeling systems, using Monte Carlo or other methods.
- Considerable knowledge and efficiency on designing devices, manufacturing, and testing prototypes.
- Good skills in oral and written communication in English.
- Demonstrated ability to work independently and collaboratively in an interdisciplinary team; and contribute to an active intellectual lab environment and teaching environment.
- Interest in deploying software tools for in-house use or for multi-institutional use via online methods, portable methods such as devices that are built in-house or commercially developed.
Interested candidates should send a detailed CV with a list of publications and a cover letter of intent to :
Assistant Professor, Medical Physicist UCSF RadOnc
https : / / profiles.ucsf.edu / tomi.nano
Job Requirements :
- Ph.D. in physics (applied, bio, nuclear, med) or engineering (bio, mech, electr) or associated fields.
- Ability to work on-site and remotely as needed by the project PIs and collaborators.
- Strong emphasis on theoretical and experimental development of imaging physics.
- Considerable knowledge and experience in laboratory skills and / or numerical analysis.
- Considerable knowledge in one or more of these medical imaging areas : surface imaging using optical cameras, planar x-ray imaging, CT and micro-CT, MR imaging, and nuclear imaging.
- Considerable knowledge on image processing methods and ability to run image processing tools.
- Considerable knowledge on modeling systems, using Monte Carlo or other methods.
- Considerable knowledge and efficiency on designing devices, manufacturing, and testing prototypes.
- Good skills in oral and written communication in English.
- Demonstrated ability to work independently and collaboratively in an interdisciplinary team; and contribute to an active intellectual lab environment and teaching environment.
- Interest in deploying software tools for in-house use or for multi-institutional use via online methods, portable methods such as devices that are built in-house or commercially developed.
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