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candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low-carbon energy
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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
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analytical and mathematical problem-solving skills. Experience with programming and experimental evaluation of computing systems. Excellent communication skills in English. The standard MSCA eligibility
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deeper, longer-term epistemic capacities through hands-on, situated experiences. Central to the project is the integration of these technologies into real classroom and laboratory settings, ensuring
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic
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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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combine state-of-the-art machine learning and protein design methods with experimental structural biology and immunological characterization. Potential project directions include: • Design of vaccine
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will be considered: Essential experience and skills: A strong academic background in computer science, machine learning, applied statistics or a closely related field. Practical experience with AI
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teams with colleagues. Your qualifications You are expected to have a Ph.D. in hydrology and have documented experience with numerical integrated hydrological modelling including groundwater, remote
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and renewable fuel production. You have experience with process-modelling tools such as Aspen Plus, Aspen HYSYS or other related software and are motivated to develop and apply dynamic models of energy