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Job related to staff position within a Research Infrastructure? No Offer Description In times of ubiquitous blended education, students need to be engaged learners who can self-regulate their learning
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PhD Learning Analytics-based dashboards for supporting students blended learning PhD Learning Analytics-based dashboards for supporting students blended learning Published Deadline Location
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Fully funded (4 years) Ph.D. on: Learning Analytics-based dashboards for supporting students’ blended learning. Proposed start date is 1 September 2024, but a later start date may be considered
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, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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robot learning & representation learning. You will be jointly supervised by the Assistant Professors Kevin Sebastian Luck (Computational Intelligence Group) and Shujian Yu (Quantitative Data Analysis
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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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evaluate products with a sustainability component. The challenge Reinforcement Learning (RL) has become a popular paradigm for automating decision-making under uncertainty in complex environments. Although
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. The PhD position is part of the sub programme “Living Lab Learning Environments”. Aim is to develop a scientifically grounded co-creative approach to innovation which is reproduceable and scalable. It aims
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that leverages in-memory computing principles for efficient online learning. Background: The field of neuromorphic computing seems to offer a transformative solution for achieving intelligence at the edge. By