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degree in Physics, Physical Chemistry or a related discipline A strong background in polarized neutron instrumentation Good knowledge of advanced neutron ray-tracing simulations (McStas/Vitess) of a full
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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at the Technical University of Munich (TUM), led by Prof. Massimo Fornasier, is seeking outstanding candidates to join the newly established research team for the ERC Advanced Grant project “Nonlinear Evolutions and
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on skills and interest): Build “incentive-preserving prediction models” for variables with positive global externalities, based on country characteristics (GDP, population density…) Develop procedures
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motivation - 2 letters of recommendation from university teachers Applicants should be prepared to reside in the Berlin-Potsdam area and to take part in a structured study program with research overseas
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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research topics in agile structures, so-called Research Hubs, created to promote the cooperative nature of the institute. Each Hub reflects in its thematic focus the Institute’s current priorities