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to an entrepreneurial ecosystem directly related to its industrial and socio-economic environment in Morocco and Africa. HTMR provides highly automated and parallel approaches to the development of new materials and
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detection by combining measurements of time- and position-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test
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, model predictive control, parallel computing using JAX and rapid online learning, is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 27 days ago
well as software developments for many parts of the system up to high-level science analysis tools. The construction of the first CTAO telescopes in Chile will begin in 2026, in parallel to the first Pathfinder for
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GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use