Post Doc Fellow - Kansas City, United States - University of Kansas Medical Center

Description

Postdoctoral scholars at the University of Kansas Medical Center are individuals who have received their terminal degree and who have opted to pursue further training in a postdoctoral appointment.

Postdoctoral scholarship is a time-limited appointment, the primary purpose of which is to provide research and/or scholarly training for an academic or research career.

Participate in a full-time regimen of advanced training and research, train under the supervision of a faculty research mentor who will provide the opportunity for collaborative and independent research, as well promote publication of findings and preparation of research grants as determined by a mutual agreement between the postdoctoral scholar and the mentor, participate in relevant academic activities related to the preparation for a career in research or academia, participate in the University's Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and demonstrate an ability to write and communicate with a scientific audience.

Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant applications and manuscripts for scientific publications, and supervise graduate students.

• 1 year relevant work experience
• Previous experience in mathematical computations

• Develop mathematical optimization algorithms related to radiotherapy for cancer and other related diseases.
• Specifically address FLASH therapy, proton ARC therapy and spatially fractionated therapy

• Conduct research applying computational mathematical techniques for benchmarking 3D dosimetry systems.
• Develop quality assurance methods applying mathematical and related computational techniques that utilizes 3D dosimetry and facilitates clinical interpretation.
• Develop models that will allow for next generation treatment planning of cancers and other diseases.
• Research the development of clinical or computational applications related to treatment planning
• Develop models to reconstruct tumors; yet avoid organs taking into account healthy structures.
• Plan and gather information from highly specialized experiments.
• Collect and enter data in an organized manner and maintain data.
• Analyze and evaluate data utilizing computational mathematics techniques to derive information from patterns.
• Present data to researchers, physicians and colleagues.
• Develop new algorithms and artificial intelligence for treatment of cancers and other diseases.
• Research and gather tumor motion management to develop new treatment planning techniques and efficiencies through computational mathematics analysis.

• Resume/CV
• Cover Letter