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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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discipline. Desirable Experience in machine learning, deep learning, data analysis, numerical modelling, or scientific programming (such as Python, MATLAB, or R) is desirable. Knowledge of hydrodynamic
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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: i) Develop computer vision systems in the context of agriculture; ii) Develop computational systems iii) Promote the dissemination and exploitation of the results generated in the project. 4
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sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state-of-the-art machine learning methods, acoustic sensing
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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Car tires are very important and complex parts with high safety and reliability requirements, responsible for maintaining the contact between a vehicle and the road. Tires are subject to wear due to
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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| Electrical and Computer Engineering Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence spectroscopy and the