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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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, preferably in physics, mechanical engineering, materials science, materials engineering, industrial engineering, computer science, chemistry or a comparable course of study Enjoy developing your own ideas and
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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) systems and specific scientific communities. It aims to optimize not only management of data transfer, processing and storage but also computational analysis, visualization and public availability, thereby
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researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. Research Assistant/PhD Position – Computer Architecture (f/m/d
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31 Dec 2025 Job Information Organisation/Company UNIVERSITY OF TECHNOLOGY NUREMBERG Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 9 days ago
of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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overexposed areas. You will also develop optimized workflows that can handle highly glossy objects. You will evaluate the results in terms of accuracy, robustness, and runtime on representative datasets and
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, enabling algorithm–circuit co-optimization across the computing pipeline with respect to key metrics such as power consumption, computational delay, and area efficiency. Beyond circuit prototyping
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/d). Project overview Protein design is a rapidly evolving field, with machine learning taking an increasingly important role in the development of novel protein biotechnologies. Yet, computer