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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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. The goal of this work is to understand how neural circuits drive behaviors such as navigation and state-dependent responses. This role involves deep learning–based data processing of calcium imaging
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integration with classical HPC; accelerator platforms and accelerated computing; parallel, distributed, and HPC programming models and languages; software design, verification, and optimization; energy
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administrative duties within the department, faculty and university. The department uses Swedish and English in parallel. The professor should be able to perform the majority of their tasks in English. However, as
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
description: The Scientific Computing Center is the Information Technology Center of KIT. The Research Group Exascale Algorithm Engineering of SCC works at the interface of algorithmics, parallel computing, and
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of robotics instrumentation, building, designing, and testing automated systems to improve operational processes, utilizing AI-based machine learning models to ensure smooth running of diverse protocols, data
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The successful candidate will contribute to the acquisition, processing, inversion, and geological interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will
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our laboratory infrastructure and procedures, ensuring the reliable and safe operation of equipment, and supporting our research activities by working closely with academic employees. The position
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Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will
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guidance. Develop documentation, training materials, and reusable code templates. Requirements Bachelor’s degree in Computer Engineering, Sciences or its equivalent. Hands-on experience with CUDA, OpenCL, C