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Do you bring together domain specific knowledge from the social sciences with a genuine, hands-on command of AI and/or digital methods? Would you like to advance research that integrates state
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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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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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processes, and product development, NIVI aims to streamline the journey from research to real-world vaccines. Our group and research Our group is part of the NIVI-R interdisciplinary research consortium. We
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified
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part of the application. Contact information For further information, please contact Associate Professor Andreas Pavlogiannis at [email protected] Application procedure Shortlisting is used
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R
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the design, nanofabrication, characterization, and operation of semiconductor qubit devices and arrays. The research will investigate the physics of semiconductor spin qubits confined in gate-defined quantum