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contributing to sustainable forestry that creates value for both people and the environment. Read more about Södra here:https://www.sodra.com/sv/se/ Description: We are seeking an industry/collaborative PhD
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of work: Uppsala (80%) and Ockelbo (20%). Forms for funding or employment: Employment as PhD student at SLU with 80% of Ph D student activity and 20% of work at Kopparfors Skogar during 5 years
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such as a red stop light or the police's blue light. Good lighting design can significantly affect the experience of form, surfaces, textures and color. The PhD student is expected to contribute new
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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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doctoral position involves both theoretical and practical work, such as fieldwork. As a PhD student you will be trained in scientific research and communication through the publication of scientific articles
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The position is placed at the Division of Astrophysics in the Department of Physics to work with David Hobbs on developing algorithms to improve the quality and scientific information that can be
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build the sustainable companies and societies of the future. We are looking for a PhD student in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference. Do you want to be involved and contribute to our development? Together, we can...
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application! We are looking for a PhD student in Medical Science. Your work assignments The candidate will be part of a research team focused on RNA biology in the context of adaptive immunity and autoimmune