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Field
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to research on the biology of human viruses as well as the pathogenesis of viral diseases. The institute offers the opportunity to perform cutting-edge research in a world-class research environment with
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and cutting-edge High Performance Computing resources. The city of Dresden provides numerous chances for scientific exchange and collaboration. TUD strives to employ more women in academia and research
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with high-performance computing (HPC) infrastructures is advantageous Excellent analytical and problem-solving capabilities Proven track record of publishing in reputable scientific journals and at
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interpret T cell states. Your tasks include, but are not limited to: Performing bioinformatical, statistical and computational analyses, including design of analysis pipelines, on various types of high
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial
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. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial. What we offer: We offer a position with a
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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of structure-performance relationships of different catalyst and membrane surfaces Development and validation of various test stand modifications Coordination with internal and external project partners from
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skills Ability to work in a team German language skills are desirable (communication with local stakeholders) Driving license category B desirable (access to field sites) Your tasks You will conduct
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of the software documentation and tutorials, including usage guides on high-performance computing hardware and content for the presentation of the software on the web and on social media Representing the technology