275 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"Prof"-"O.P"-"UCL" positions at University of Kansas Medical Center
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on development of a geriatric oncology program and contributions to programs within KUCC, CSPOR, and LCOA. This can include development of a T32 training program. Successful candidates will have demonstrated
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including individuals at high risk for breast cancer due to family history, hereditary cancer syndrome, high risk breast biopsy and other risk factors. This hybrid clinical and research program offers
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harm to surrounding healthy tissues. Work with other oncologists (medical, surgical), surgeons, and other specialists to ensure the most effective and comprehensive cancer treatment plan along with
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employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available
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for faculty and staff within the division Process expense reports for faculty and staff within the division Schedule meetings and coordinate schedules as needed Plan and organize meals and other events
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with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance
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insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and
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, biostatistics, computational neuroscience or related fields. Work Experience: Two years of experience with Python, MATLAB, and/or R programming language. Experience in working with clinical populations
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on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life
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medical students and residents in clinics as well as participate in the didactic teaching program. Candidates interested in research may be afforded protected time to complete clinical and bench research