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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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data field such as mathematics, engineering or computer science B. Minimum experience, length of years and type: - 2 years working with a programming language such as FOXPRO or .NET - 2 years working
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essential revenue functions. Duke Cancer Center Raleigh Financial Care Counselor Work hours: *** DUHS Commitment Bonus Program $5000.00 (paid in 2 installments over 12 months - 6 month increments) *** * Only
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professional demeanor and ensure quality care in all interactions. Respond promptly to communications (e.g., emails, pages, and phone messages). Use technology (e.g., computer skills) to meet job requirements
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interactions. Responds promptly to communication (e.g., e-mail, pages and phone messages). Uses technology (e.g., computer skills) to meet job requirements. Maintains productivity standards. Completes clinical
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Education and Training: A Bachelor's degree in an applicable scientific data field such as computer science. B. Minimum Experience, Length of Years and Type: Demonstrated proficiency in multiple programming
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Abilities: In-depth knowledge of Health Physics, Medical Physics, Mathematical Physics, Radiation Biology, Kinetic Modeling and Computer Simulations. Knowledge of federal, state and local laws and regulations
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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of the experience requirement. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Skills: Computer literacy in Windows and Microsoft Office (Outlook, Word, Excel, PowerPoint) Basic mathematical
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKEGRILL1 [#30090] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area