11 phd-sweden-scholarship-in-computer-science Postdoctoral positions at Linköping University in Sweden
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and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision
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– such as taking statutory leave – then these may be taken into consideration. We are looking for candidates with a PhD in materials engineering, solid mechanics or a closely related research field. Good
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We are now looking for a new Postdoc in Organic eletro chemistry that will join us at the Laboratory of Organic Electronics (LOE), a division of the Department of Science and Technology
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14 Mar 2025 Job Information Organisation/Company Linköping University Research Field Physics » Other Chemistry » Other Researcher Profile Established Researcher (R3) Country Sweden Application
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering has a vacant post-doctoral position in the area of numerical methods for motion planning and
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are looking for someone with a PhD in computer science, electrical engineering, mathematics, statistics, data science, operations research, or other related fields. You have strong coding skills in Python and
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to the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden
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shape the future of sustainable agriculture. Qualifications The applicant should have a PhD and strong scientific background in (electrical, mechanical) engineering, bioelectronics, physics, neuroscience
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these may be taken into consideration. A suitable background for this position is a PhD in materials science, nanoscience, applied physics, or a related field. Cleanroom fabrication experience is a merit
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are looking for candidates with a PhD in Computer Science, Visualization and Media Technology, Machine Learning or a closely related research field. A strong background in machine learning and visual data