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Researcher (m/f/x) on Autonomous Cloud-Edge Continuum Orchestration
- Ruhr-Universität Bochum
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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CLOUD • HARDWARE • NETWORK • PYTHON • C • C++ • JAVA • SECURITY • .HTML. • PROJECT MANAGEMENT • MACHINE LEARNING.
Főbb feladatok· RESEARCH AND DEVELOPMENT: o Design novel orchestration architectures and algorithms for dynamic service placement, migration, and scaling across the cloud-edge continuum. o Devise and evaluate learning-based methods and control-theoretic approaches to balance latency, reliability, energy...
Március 19. -
Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data
- SAP SE
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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SAP • NETWORK • PYTHON • ERP • @SAP. • MACHINE LEARNING
Főbb feladatok- Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
- Expand the horizon of what is possible by bringing together rich semantic context with large scale business data
Március 19. -
Researcher (m/f/x) in Distributed Intelligence and Learning Across the Cloud-Edge Continuum
- Ruhr-Universität Bochum
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok • Német középfok
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CLOUD • NETWORK • HARDWARE • PYTHON • C • C++ • JAVA • SECURITY • .HTML. • PROJECT MANAGEMENT • MACHINE LEARNING
Főbb feladatok· RESEARCH AND DEVELOPMENT: o Design and evaluate distributed learning algorithms that operate across heterogeneous nodes, exploring model splitting, collaborative inference, and adaptive training strategies. o Investigate privacy-preserving and energy-efficient learning mechanisms and study the...
Március 19. -
(Senior) Researcher (f/m/d) - Foundation and World Models on Structured Business Data
- SAP SE
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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PYTHON • MACHINE LEARNING • SAP • ERP • @SAP.
Főbb feladatok- Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
- Gain new insights by bringing together rich semantic context with large scale business data.
Március 02.
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Researcher
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IT programozás, Fejlesztés
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