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English Languages Courses are usually held in English. The dissertation is written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any
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at the electrolyte/ electrode interface You participate in regular project meetings with the involved partners from industry and research Your Profile: Completed academic studies (Master) in chemistry or materials
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Degree Dr rer nat (Doctor of natural sciences) Course location Münster Teaching language English Languages Courses are held in English. Mode of study Less than 50% online Programme duration 6
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to work in a team and in a research network • Computer programming experience • Knowledge in electronics • Experience in the field of optics and quantum optics is desirable We offer: • A truly unique
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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systems, green hydrogen through photoelectrochemistry, and material design. PhD student Reference code: 50137691_4 – 2025/WT 1 Commencement date: as soon as possible Work location: Geesthacht (near
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) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a strong drive and background
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Max Planck Institute for Solid State Research • | Stuttgart, Baden W rttemberg | Germany | about 12 hours ago
semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The overarching goal of the Max Planck Graduate Center for Quantum Materials is
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the technical and social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in