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, 3-D dosimetry, oncologic and biological imaging, automatic treatment planning, radiomics and deep-learning, modeling of radiation damage for normal tissues and of tumor control using radiation
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: Teach two courses per semester that align with their professional expertise and the needs of the program. Collaborate with program leadership on initiatives related to curriculum design, program
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, statistics/machine learning experts, clinicians/clinical researchers, and software developers to build valuable technology solutions that are scalable both within the Duke clinical enterprise as well as more
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focuses on advanced methodologies in abdominal imaging, particularly applications of machine learning and deep learning to medical image analysis. The lab aims to advance existing imaging techniques and
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science, statistics, machine learning, or related quantitative field. • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods
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access services. You’ll use your independent judgment and deep understanding of library practices to enhance workflows, implement innovative technologies, and ensure high-quality service across departments
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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or academic, instructional, or counseling activities OR an equivalent combination of relevant education and experience A passion for documentary work (or a deep curiosity to learn) A desire to contribute to a
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contribute to the Center’s development of experiential learning initiatives for students. Assistant Directors are expected to think creatively about the professional development and educational experience
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a