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, tasks have a continuous evolution, and the precedence graph becomes dynamic. There is an initial method proposed in the literature, where a static model is proposed, introducing two states of products
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from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We have a vacancy for a PhD position in the Materials Theory group at the Department
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, extremal combinatorics, structural graph theory, and related fields. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in Mathematics (Combinatorics and/or
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complexity, approximation algorithms, extremal combinatorics, structural graph theory, and related fields. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education
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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming