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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 44 minutes ago
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At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems, the Chair of Highly-Parallel VLSI Systems and Neuro
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and optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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(IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project position as Research Associate (m/f/x) Physics- and Quantum-Inspired Computing on the SpiNNaker2
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
. Our long-standing analysis program focuses on exploring the properties of the Higgs boson and searching for physics phenomena beyond the Standard Model. In parallel, the group is engaged in hardware
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strong programming skills. Familiarity with parallel programming is highly desirable. Proficient knowledge of English is highly desirable. A background in power systems is desirable, though not required
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strong programming skills. Familiarity with parallel programming is highly desirable. Proficient knowledge of English is highly desirable. A background in power systems is desirable, though not required
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for Computer Architecture and Operating Systems at TUM Campus Heilbronn covers a broad range of research focus areas in computer architecture, parallel processing and hardware-oriented applications and
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following topics open: Multi-Stack Handling – Safe cooperation and activation of multiple parallel driving stacks. Runtime Risk Assessment – Continuous evaluation of driving risk at runtime. Supervisor
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whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems (IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project
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, materials, components, and products that is being developed in parallel within the project team. It quantifies how process and recycling yields depend on composition and makes that knowledge usable