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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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fluid processes, electrical engineering, power electronics, renewable-energy control, offshore energy systems, and Power-to-X. The research environment is being further strengthened through the C-TECH
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Department of Food Science (FOOD KU), Faculty of Science (SCIENCE) invites applicants for a PhD fellowship in Food Engineering, “Linking Powder Structure to Performance” The project is in
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Collaborative Research Grant, in collaboration with the University of Gothenburg and Chalmers University of Technology. Start date is (expected to be) 1 January 2027 or as soon as possible thereafter. The project
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educational technology spaces can foster embodied and epistemic engagement with scientific practices – helping students not only understand complex concepts and procedures in the short term, but also develop
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, Email: [email protected] Co-supervisor is Dr Harrison Bo Hua Zhu, Department of Public Health Email: [email protected] Co-supervisor is Dr Neil Scheidwasser, Department of Public Health Email
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investigating how technology, space design, and pedagogy can together enable students to continue learning at work, in individual study, or in distributed settings following active, on-campus learning experiences
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, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
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group has around 20 members including biochemists, quantum physicists, computer scientists and more. We offer a scientific working environment focused on practical connections between these fields with
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https