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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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, biomaterials from the forest, and hybrid organic materials. We share a common interest in utilizing the combination of electronic and ionic charge for use in healthcare and biology applications, energy, and the
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We are looking to recruit a postdoc in the Electronic and Photonic Materials division in the Department of Physics, Chemistry and Biology (IFM) for research on the ultrafast optical spectroscopy
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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utilizing the combination of electronic and ionic charge for use in healthcare and biology applications, energy, and the internet-of-things. Our research topics include synthesis, material science, theory 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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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Work assignments This position is primarily a
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to employ you. The PhD degree should have been awarded maximum three years before the date of application, with reservation for statutory absence like parental leave. We are looking for someone who has a PhD
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, Chemistry and Biology (IFM) has a broad expertise and internationally leading scientists in materials science, including theory, modelling, materials synthesis, and characterization. In particular, IFM has
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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