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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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The doctoral student will be employed at Mid Sweden University as part of the Swedish research school for excellence in Arctic and Antarctic Learning (SEAL) , which offers an internationally competitive
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learning). The project will be carried out in a collaboration between Linköping University (main supervisor: Anders Eklund) and Lund University (co-supervisor: Mikael Nilsson) through an ELLIIT collaborative
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school for excellence in Arctic and Antarctic Learning (SEAL) , which offers an internationally competitive, interdisciplinary research and training environment with access to unique infrastructure, field
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of protein design with synthetic biology approaches - Previous work in interdisciplinary research environments Personal qualities such as analytical thinking, independence, collaboration skills, and scientific
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through
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learning with interactive exhibits in public spaces. The PhD student will collaborate closely with visualization researchers, AI-specialists, research engineers, educational scientists, and pedagogues
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, physical and chemical characterization, use of LSRI facilities, and in vitro evaluation. The project is a collaboration between KTH, RISE, Larodan, and Karolinska Institutet. The position will be shared