44 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions at University of Vienna
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to conduct research and teach in an internationally networked team while developing your own academic profile. The contract is for a period of three years. Initially limited to 1.5 years, the employment
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international research networks. Your future tasks: Active participation in research, teaching and administration, which involves: Researching, writing and completing a (publication-ready) habilitation thesis, a
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within Finno-Ugric studies in the wide sense of the word and by intensive international networking. The department is part of the Faculty of Philological and Cultural Studies. We appreciate our diversity
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machine learning. The goal of this research project is to investigate how far standard proofs in numerical analysis and approximation theory can be automated by a (neural network) guided search over
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to engage in interdisciplinary exchange and research work in teams • Willingness to engage in network building Desirable are: • Experience in project management or project coordination • Field
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at the Forschungszentrum Jülich in Germany. The PhD Project is partially funded by the EU Doctoral Network QLUSTER (HORIZON-MSCA-DN-2021, 101072964). Please note that, according to the mobility rules established by the EC
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directions of his/her own choice. The successful candidate will be a creative scientist who enjoys both writing and documenting model source code, as well as seeking novel model applications. As a result of
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a fair and equitable work environment, where diversity is an asset and individuals can flourish. It is that easy to apply: Scientific curriculum vitae, including links to scholarly profile and code
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in the context of the successful completion of your thesis. Requirements: You are enrolled in the doctoral programme of DSPL45 and a doctoral student member of VISESS who agreed to the Code of Good
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international partners and networks and become familiar with initiatives similar to the ECH. You develop metrics for success and benchmarking frameworks to monitor and optimize all Hub programs and performance in