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PhD position - Learning Tailored Iterative Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school)
- Forschungszentrum Jülich GmbH
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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PYTHON • NETWORK • MACHINE LEARNING • C++
Főbb feladatok- Become familiar with our previously developed neural network superstructure for learning iterative algorithms
- Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
- Investigate scaling and performance bottlenecks
Március 16. -
PhD position – Co-regulation structures for large-scale single-cell transcriptomics – within the HDS-LEE graduate school
- Forschungszentrum Jülich GmbH
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
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PYTHON • MACHINE LEARNING • C++ • NETWORK • R
Főbb feladatok- Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
- Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks
Március 16.
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Phd
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IT programozás, Fejlesztés
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