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Field
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Duties & Responsibilities Collaborates with management, departments, and customers to identify end-user requirements and specifications. Duties & Responsibilities Designs algorithms and flowcharts
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/GaN HEMTs, vertical GaN MOSFETs and diodes, as well as GaN-based MEMS, sensors and microelectronic devices, and the development and adaptation of processes for the reliable production of these. What you
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the infrastructure that connects sensors, AI inference systems, large foundational models, and mobile applications. Responsibilities: Design, develop, deploy, and maintain a robust software infrastructure that
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency and scalability. Collaboration & Mentorship - Work closely with
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Status: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall
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algorithms proficiency in both general-purpose programming (e.g., Python) and scientific computing, with a preference for experience in Julia Experience in writing up research work for publication Highly
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building sensors, analyzing data, and writing data summaries. The position is 35 hours per week for a three week duration (7/7 – 7/25). Duke University is an Affirmative Action/Equal Opportunity Employer
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learning including reinforcement learning, nature inspired algorithms, deep learning, agent based modeling, and natural language processing. We are specifically interested in research focused
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in