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, the postdoc can be involved in the following research area if interest arises: numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. HCF fabrication will be carried out
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humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context
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The Department of Molecular Biology seeks a postdoc to a project entitled “Molecular mechanisms of development and transmission of malaria parasites”. The position is full-time for two years, starting September 1
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automated theorem provers and recently popularized for optimizing compilers and many other optimization tasks. We hypothesize that an e-graph would be an effective tool for discovering and encoding a large
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently
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automated. In addition to functioning infrastructures, organizations, economic management and policy, changed knowledge, action and meaning-making are required for something that was once considered worthless
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interdisciplinary research environment, the ability to collaborate and contribute to teamwork, and a very good command of the English language is important. More information The PhD programme is four years. However
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code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Terms of employment The employment is full-time and until further notice. Probationary
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at least one of the areas of data privacy, machine learning is required. A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of