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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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benefits. The initial appointment is for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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12.10.2021, Wissenschaftliches Personal For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes”. For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About...
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-to-store-human-knowledge-for-eternity We are looking for a student with a strong mathematical and/or coding background. Interest of background in coding theory, information theory, and algorithms is desired