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investigating how creative, experimental and practice-based learning cultures can be developed in vocational education. In relation to research, applicants should document: Experience, skills and achievements
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Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University of Copenhagen. The sub-package focuses
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
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piglets who are unable to acquire own mothers’ colostrum. The majority of the experimental in vivo work is located at Frederiksberg Campus, albeit but with some investigations under commercial farming
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the way they orchestrate multiple voices and create coherence in texts – all of which are pivotal for literacy learning. Besides much-needed empirical insights, we expect to enrich the theoretical concepts
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of computer science in proof assistants. Fluency in English is required. Questions? Curious to learn more about the position and environment? Please feel free to reach out to Professor and FORM Director Fabrizio
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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Boson Sampling machine. These ambitious projects all focus on addressing fundamental and technical challenges in photonic quantum computing using continuous-variable entanglement. The successful candidate
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working with medium and low voltage high power power modules power converters and power magnetics interfacing to ac sources as electric machines and other power converters. It is also critical relevant you