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Field
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international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
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data quality acquisition to final publication, (4) overseeing measurement performance and support of data analysis including the data management and storage, (5) coordination between the existing
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and other structural characterizations Experience in working with radionuclides, esp. actinides and TRU elements is of advantage Thorough and goal-oriented work Good communication skills in English
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Physics, Computer Science or closely related fields like mathematics. Excellent communication skills (including proficiency in English) as well as enthusiasm for interdisciplinary work are essential for all
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(BCF). At present, the graduate school counts approx. 120 doctoral fellows. The programme covers a wide range of disciplines: protein structure and function, synthetic biology and signalling
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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Description About us LMU Munich is one of Europe’s leading research institutions. Scientists from all over the world encounter excellent conditions for their work in their own research field and in
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equal opportunities, family friendliness and work-life balance are very important. Our research focus is on the coastal and marginal seas, especially the Baltic Sea. The staff of the five departments