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Field
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will be analyzed to detect and segment structures such as pores, fractures, and vugs, with novel algorithms developed to evaluate their geometric properties, including size, shape, and orientation
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of electronic systems. Simulation and design of power electronic converters. Programming of control algorithms for electronic converters. Hardware design of electronic control and power circuits
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks
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work with our team to conduct research on the development of image analysis algorithms and AI methods for hardware security evaluation. The roles of this position include: Study literatures on multi
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on visual localization techniques. Key Responsibilities: Develop
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of the appointment and a strong commitment to teaching, academic research, and service. PREFERRED QUALIFICATIONS: Research that focuses on artificial intelligence, and teaching interests in algorithmic programming
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networks. The activities will include the development of algorithms for processing seismic and geodetic signals, subsurface imaging, dynamic characterization of sites and structures, as well as monitoring
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, including the development of the necessary methodologies or algorithms Where to apply E-mail ap.seiffert@upm.es Requirements Research FieldEngineering » Biomedical engineeringEducation LevelBachelor Degree
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, and C/C++ Experience developing machine learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork
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, computer vision, pointcloud-processing or machine learning is a plus Analytical mindset and experience in algorithm development Enthusiasm for mobile robotics Fluent in English or German What you can expect