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following are also desirable: Experience with broader topics in computer vision, theoretical computer science, probability and statistics, game theory, and optimization. Experience in writing papers in top
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vision, theoretical computer science, probability and statistics, game theory, and optimization. Experience in writing papers in top conferences/journals. Efficient coding skills in C or C++. Experience in
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probabilistic deep learning Experience in computer vision or working with visual data Candidates without a master’s degree have until 30 June, 2024 to complete the final exam. Grade requirements: The norm is as
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implementation strategies for DHP, as a cornerstone to the digital transformation in SSA In terms of approach, the PhD project’s main focus will be on formulation of shared vision (community acceptance) of DHP
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engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision. A solid documented background in machine learning, mathematics
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