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Field
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management, intermediate representations, or execution orchestration for quantum or heterogeneous computing platforms. Experience with heterogeneous and parallel computing technologies, programming
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 12 days ago
Adaptive Dynamic Systems offers a full-time position as
Research Associate / PhD Student /PostDoc (m/f/x)
in Near-Memory Computing for RISC-V
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-Memory Computing for RISC-V Employer Technische Universität Dresden (TU Dresden) Location Dresden Salary E 13 TV-L Closing date 8 Oct 2026 View more categories View less categories Discipline
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Postdoctoral Associate – MEMS/NEMS Fabrication and Characterization for Piezoelectric/Ferroelectric Devices and Emerging Computing Hardware The SonicMEMS Laboratory at Cornell University is
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on high-performance computing (HPC) environments using distributed data or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi
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cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
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systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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contribute to analyses and processing of data. They will become familiar with high performance computing environments and parallel processing, as well as cloud computing infrastructure. They will