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Field
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, and benchmarking of novel algorithms on synthetic and real-world datasets Development and maintenance of open-source research software and reproducible workflows Collaboration with CRC partners across
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services supporting research within the SolMates project development and extension of the web-based research data management platform NOMAD within SolMates contribution to the full software development
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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 13 hours ago
Beginning Only for doctoral programmes: any time Application deadline The application deadline is flexible. Please check https://www.imprs-trust.mpg.de . Tuition fees per semester in EUR None Combined
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investigations as well as analyzing and interpreting the results of these investigations developing and testing innovative spinning technologies and modifying existing machine technology preparation of scientific
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are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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physicochemical characterization (SEM, SAXS, DLS, DSC, TGA, DMA, rheology, adhesion testing, FTIR, Raman, XPS) Quantify adhesion, cohesion, rheological, thermal, mechanical properties Establish structure–property
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important services for the development and operation of ALMA, including software development and testing, Call for Proposals and observation preparations, participation in observing shifts at the ALMA
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-dynamical or environmental systems Research on quantum and hybrid quantum–classical algorithms for solving partial differential equations Implementation, testing, and benchmarking of computational methods