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(quantitative research methods and advanced proficiency in statistical software such as Mplus, R, etc.) • Teaching experience/experience in e-learning • Experience in student supervision • Excellent
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participate in research, teaching & administration, which means: You develop computational tools for designing optimal synthetic communities and modularized production units within microbes. You create software
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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving
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computational software development. You enjoy working in a team where you contribute your expertise and skill set to deliver an ambitious research vision and where you can contribute to the training of PhD and
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to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate
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that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology
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develop software to process meteorological input data to the model, as well as software for the analysis of model output. One example is the software FLEXINVERT, which is used for inverse modelling
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knowledge of research practice, as well as a broad understanding of how research operates and how data and software underpin reproducible research Experience with designing and delivering training Very good
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quantum mechanics-based methods for the description of condensed matter systems, including the successful software package VASP (Vienna ab-initio Simulation Package). Currently, the group consists of two
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heterostructure samples. Basic skills in scientific programming and open-source transmission electron microscopy software are an advantage. Excellent command of written and spoken English (C1 Level or equivalent