31 web-programmer-developer-"U"-"Washington-University-in-St" positions at Free University of Berlin in Germany
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is the role of clouds in the climate system. For this, we apply and develop a wide range of numerical approaches that cover highly idealized heuristic models to very detailed Lagrangian representations
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will have a prominent academic record and be able to promote the development of Freie Universität Berlin by implementing a decisive vision of the university’s future and intensifying collaborative ties
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of ant trails. Next to statistical physics, high-performance simulations are an important tool for us, for which we have developed "HAL's MD package". This comprehensive software provides large-scale
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different spectral ranges, and engineer materials through hybrid light-matter states. Our group is funded by the Emmy Noether Programme of the German Research Society (DFG). We closely collaborate with
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theoretical methods and computing facilities and a wide range of development opportunities. We are committed to family and academic life being compatible and promoting diversity and equal opportunity through a
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CRC 1114 aims at methodological developments for the modelling and computational simulation of complex processes involving many (more than two) interacting scales, driven by real-life applications
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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call within the domain of visual cognition. This includes, but is not limited to, the current and planned research focuses of the group: -Investigating the development of visual representations in humans
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the opportunity to develop her/his academic profile (PhD#degree). Requirements: Master’s degree in sociology or neighboring social sciences Desirable: - interest in one or more of the following research areas
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applications to social issues to assist in various projects. We offer the chance to get first-hand experience in research projects, the opportunity to improve or develop your quantitative methods and statistical