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teaching. Supervision and co-supervision at undergraduate and advanced level may also be relevant for the position. - administration (e.g. course responsibility or program coordination) and development
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future tools for bioengineering, biophysics and cell biology. Our diverse team of physicists, biologists, chemists, and computational biologists is a leading group in the field of DNA nanotechnology
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and outside academia. Teaching or other assignments may be included in the position up to a maximum of 20%. The position is funded by the KK Foundation and the program “Jubilee doctoral students”, where
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transport and reduced transport intensity in agro-food and bioenergy supply chains. Focusing on selected case studies, transport related to primary production and distribution of finished products is
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the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization. Application The application is to be completed online. Please submit your
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this recruitment we invite exploratory dissertation projects, and we are therefore looking for those who are driven by creativity, curiosity and critical thinking. We value the qualities that an even distribution
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SEDDIT (Sensor Informatics and Decision-Making for the Digital Transformation). More details about this center are available here: https://seddit.se . The research within SEDDIT contains both theoretical
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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program, the speech and language pathology program and the biomedical program. For more information about the Department of Biomedical and Clinical Sciences, please follow: https://liu.se/en/organisation
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge