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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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, 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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early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses
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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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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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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