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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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We are now looking for our new PhD who will join us in our poject in ELLIIT , Linköping University. Your work assignments The selected candidate will conduct cutting-edge research on unconventional
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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, accurately and securely. Goal of this PhD project High-capacity neural models, such as transformers, have been pivotal for establishing general-purpose models for a wide variety of natural language tasks
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Eligibility Criteria A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we
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interfaces, and ethics and regulation. What you will be doing Inform a research agenda on the PhD topic for a timespan of four years. Develop mechanisms, interfaces, models, and systems for responsible AI
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research, this PhD project will disentangle the contributions of different biomes to the atmospheric [CO2 ] signals measured at multiple monitoring stations in the Amazon. That is, the contributions
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power