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learning, or related quantitative field. • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in
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problems or desires, resulting in effective stakeholder solutions. Deep familiarity with modern design tools, especially Figma. Strong visual fundamentals in color, typography, and component-based design
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. Wildfire, climate change, and ecosystem management Our lab works at the intersection of theoretical and empirical science. We value applicants who combine strong quantitative skills with a deep interest in
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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
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: Apply Position Description POSITION: Part-time Lecturing Fellow (non-regular rank), to teach a total of one course and lead one large-scale, year-long program. The Lecturing Fellow serves as a core member
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, Economics, Statistics, Computer Science, Engineering, or Mathematics. A demonstrated passion for investing and a strong desire to learn about financial markets. Strong proficiency in R or Python for data
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Methods, 2017 Science) and DANNCE (3D deep-learning kinematic analysis platform; Dunn et al., 2021 Nature Methods), developed to understand motor disorders and neural connectivity with unprecedented
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the classroom and the studio work. There is an expectation to teach two courses for each of the fall and spring semesters. This EIR will teach core technical courses, including C++ Programming for Game
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. Participate in post-incident reviews and help implement recommendations. Learn and apply SRE best practices and methodologies specific to container orchestration platforms. Collaborate with development teams
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staff, and supports continuous learning and professional development. 🟦 Choose Duke This is a remote position, open to candidates residing in one of the following states or districts: Arizona, California