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The internship offers hands-on experience in various divisions including Cyber, Analytics, Sensors, and Systems Development, allowing students to collaborate on impactful projects related to national security. Responsibilities include problem design, prototype development, and technical support.
As an intern with STR’s Video & Image Understanding Group, you will develop and apply deep learning and reinforcement learning techniques in computer vision and autonomous control. Your responsibilities include optimizing algorithms and collaborating with research engineers and academic experts to create impactful machine learning solutions.
As an undergraduate summer intern at STR, you will collaborate with researchers and engineers to tackle real-world problems in divisions like Cyber, Analytics, Sensors, and Systems Development. Your responsibilities include participating in project phases such as problem design, solution discovery, and technical support related to algorithm and hardware integration.
The role involves collaborating within project teams to apply knowledge and skills in areas like signal processing, machine learning, and systems development, while providing support throughout various project phases such as problem design and prototype development.
As a summer intern in the Video & Image Understanding Group, you will develop and apply machine learning techniques to computer vision challenges, collaborate with research engineers, and optimize algorithms using practical datasets.
As an Undergraduate Summer Intern at STR, you'll collaborate with researchers and engineers on real-world challenges, contributing to various project phases including problem design, solution discovery, and system implementation, focusing on areas like Cyber, Analytics, Sensors, and Systems Development.
Interns at STR will collaborate with experts on projects related to national security, gaining hands-on experience in areas such as analytics, cyber security, sensors, and systems development. Responsibilities include participation in all phases of project development from problem design to implementation, utilizing technologies like machine learning and signal processing.
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