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between Network Interface Cards (NICs) and computational nodes. The primary aim is to mitigate host-system overhead by introducing ISA extensions that operate seamlessly at the cache and register level
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, holding tutori-als, and advising students. Qualification: As a suitable candidate, you hold at least a good PhD or master´s degree in industrial engineering, process engi-neering, chemistry or similar
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obtaining research qualifications within the TUM Graduate School. The successful candidate is expected to teach Bachelor and Master courses, initiate and supervise third-party funded projects, and conduct
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publication “LLMs for Science: Usage for Code Generation and Data Analysis”, available at https://arxiv.org/abs/2311.16733 . Your qualifications Successfully completed university degree (Master's
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and beyond • Supervision of fellow scientists (Ph.D. candidates, lab technician, bachelor and master students) Requirements and desired expertise The ideal applicant should have • A Ph.D. degree with a
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of the admission requirements of the corresponding TUM doctoral regulations. Requirements We seek an outstanding candidate who brings the following: Excellent master's degree in computer science or related subjects
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the principal component of assessment of catalytic performance, in applications on sustainability. We work closely with various institutions and companies from all over the world, especially France, Denmark
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at https://arxiv.org/abs/2311.16733 . Your qualifications Successfully completed university degree (Master's or equivalent) in computer science or similar fields (e.g., information systems engineering
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holding a Master degree in geodesy, geoinformatics, computer science, (geospatial) data science, or related fields, with experience in remote sensing data processing, ideally point cloud-based methods. You
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projects. Ideal profile: Academic and Technical Qualifications: Possess an above average Master's degree in Electrical/Power Engineering or a related discipline, with deep knowledge of energy technologies