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/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such cutting-edge
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges
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for changes in your work tasks after appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307999/phd-research-fellow-in-gr… Requirements Research FieldTechnology » Environmental
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The position is focusing on the use of digital technology in child welfare services. Norwegian child
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important that you are able to: A good team player A good communicator Eager to learn Results-oriented Work independently Emphasis will be placed on personal qualities. We offer An exciting job with an
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stays at foreign educational institutions Support to education activities in courses within the Software Engineering area Other career-promoting work, such as learning grant preparation fundamentals Be
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flat interconnect AI compute clusters. Machine learning clusters and artificial intelligence (AI) training have become increasingly popular in recent years. The recent introduction of OpenAI’s ChatGPT
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contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si.  ; A particular quality of the department is in the use of empirical