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approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross-sectoral secondments
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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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the GraduateCenter LMU: https://www.portal.graduatecenter.uni-muenchen.de/ocgc/transformations Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich
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/index.html Teaching language English Languages The course language is English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline Annually on 15
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is embedded in LMU's outstanding institutional and research-driven infrastructure. The Class of Language's programme focuses on linguistic theory, language use, and the interrelation thereof. Doctoral
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/application/ Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information
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background in probability theory. Prior knowledge in spatial stochastic or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known
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Forschungsgemeinschaft (DFG). Our goal is to achieve atomic-precision synthesis and exploration of new planar carbon lattices (PCLs) for next-generation quantum materials, functional precision membranes, optoelectronic
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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 method reliably