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electronic form (one pdf-file only), to ipolspam prevention@ifp.uni-tuebingen.de . Deadline for applications is 14 November 2025. Interviews are provisionally scheduled for 27 November 2025. For further
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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-throughput screening frameworks. HPC Proficiency: Advanced-level experience working with HPC systems, including parallel computing, job scheduling, and optimization of simulation codes for large-scale
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List of publications Extensive and detailed description of the research proposal. Please upload the description under 'Research project' in the DAAD portal. Schedule of planned research work Letter
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users: provide project consultation, training and hands-on support, schedule and prioritize measurements, and ensure timely data delivery Drive method development for single-cell MSI and integration with
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(https://www.icos-cp.eu/projects/icos-cities ) Design and implementation of suitable algorithms, using the High Performance Computing infrastructure at Leibniz Rechenzentrum (LRZ) Analysis of ground-based
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the Research Group “Stochastic Algorithms and Nonparametric Statistics” in the project „SFB/Transregio 388“ SFB/Transregio 388 investigates the interplay between rough analysis and stochastic dynamics. Central
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/career/vacancies . The interviews are scheduled for 21 and 22 August 2025. Equality of opportunity is part of our personnel policy. Disabled applicants with adequate qualification will be preferentially
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures