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position is funded by our ERC Starting Grant . Project background The introduction of fiber optics in the 1970s has revolutionized the telecommunications industry upon the replacement of copper wires and
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. Required Minimum Qualifications: PhD in Chemical Engineering with 10+ years Experience working with fluorescent carbon nanotube-based sensors. Preferred Qualifications: Experience with biomass degradation
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other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. This project is established in collaboration between LTU and
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The candidate will join a collaborative project. Depending on the background and preferences of the candidate, this will be a project that also includes partners from Aarhus University and industry or a
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. Required Qualifications Education: PhD , MD or equivalent. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and
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, work together, and measure success. Basic Qualifications: A PhD in Materials Science & Engineering, Computational Sciences, Physics, or a related field completed within the last 5 years Demonstrated
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together with industry partners such as Alliander and Stedin and made openly available to the broader AI and energy community. You will conduct research on advanced AI methods for short-term load forecasting
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industry or a project that involves other departments at Aalborg University. The projects consist of multiple tasks, which are shortly outlined below. It is not intended that the candidate works on all tasks
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research is conducted in co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the
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in September 2026. Job requirements You hold a PhD with a focus on experimental fluid mechanics, for example in aerospace engineering, mechanical engineering, or applied physics. You have proven