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Website https://job-boards.eu.greenhouse.io/constructorknowledgelabs/jobs/4976717101 Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Required
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the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance
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practices and international standards.Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD
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. Participate actively in securing new funding. The contract will be fixed-term two-year full-time contract. The start date will be in January 2027. Where to apply Website https://selection.uoc.edu/web/profile
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with AMD MI300A GPU+CPU. 2. Perform benchmarking studies to enhance scalability and achieve high node-level efficiency, surpassing existing AMR frameworks. 3. Contribute to communication optimizations
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goal is a fully verified opensource inference stack with competitive performance). Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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is a fully verified opensource inference stack with competitive performance). Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . What we
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architectures. Emphasis will be placed on heterogeneous computing and the optimal use of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will
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bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges/engineering/research
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of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim or http://github.com