9 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Linköping University in Sweden
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for materials science, and advanced optimizers for modern deep learning. The research may be conducted in collaboration with the Electronic and Photonic Materials and/or the Computer Vision Laboratory
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and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org All
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, an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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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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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
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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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cell reactors. A post-doc takes an active part in shaping and correcting the research direction together with the supervisors. Various tasks assigned to the post-doc include continuous learning and
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, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment