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demonstrated interest in advancing qualitative research methods in social sciences through interdisciplinary collaboration. We primarily seek to appoint at the Research Fellow level, but exceptionally strong
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characterization of the deposited materials. The mechanical resilience of the deposited materials is studied using application-relevant standardized methods such as bending, scratching and nanoindentation. The ENS
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expertise in artificial intelligence and a demonstrated interest in advancing qualitative research methods in social sciences through interdisciplinary collaboration. We primarily seek to appoint
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Sciences . It includes mathematical and physical modelling, numerical simulations of materials and nanosystems, low-dimensional systems, quantum matter, statistical physics, and complex systems
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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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intelligence methods, with proven publication record in scientific venues in the field, as well as programming skills. Publications in top-tier AI and NLP venues (e.g. NeurIPS, ICML, ICLR, JMLR, ACL, EMNLP, TACL
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for the work to be carried out. Research experience after completing the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record