28 quantum-engineering "https:" "https:" "https:" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Germany
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23 Dec 2025 Job Information Organisation/Company Max Planck Institute for the Physics of Complex Systems Research Field Physics » Quantum mechanics Physics » Solid state physics Physics » Condensed
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physics with a focus on light-matter interaction in quantum materials research. Possible research topics include but are not limited to novel topological and correlated materials phenomena, quantum phase
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digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine
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the year. For more information, please see: https://mpl.mpg.de/study-work-or-visit/graduate-programs/how-to-apply/phd-positions . Tuition fees per semester in EUR None Combined Master's degree / PhD
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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Your Profile: An excellent master’s degree with strong background in nano science, materials science, chemistry, chemical engineering, physics or related Experience with modeling of reaction kinetics
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Associate Professor of Data-Driven Material Modeling (salary group W2
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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-Nürnberg and the University Hospital Erlangen. Research at MPZPM is focused on the physics of cells and their microenvironment. https://mpzpm.mpg.de/ The Max-Planck-Gesellschaft zur Förderung der
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem