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dissertation in the language agreed upon with his or her supervisor according to the requirements of the doctoral degree regulations Full-time / part-time full-time Mode of study Fully on-site with voluntary
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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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mechanisms that underly the interpretation of literary texts. For the advertised PhD researcher position, this work involves the semantic and pragmatic analysis of utterances and texts relative to the central
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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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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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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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the specialist fields of sociology, political science, communication studies, law, and business. The centre is built on a foundation of social science research orientation, theory development, and methodology
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of biogeochemical processes with an emphasis on terrestrial ecosystems Development of observational techniques to monitor and assess biogeochemical feedbacks in the Earth system Theory and model development
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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