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Postdoc in Causal Inference and Natural Language Processing Norrkoping Reference number IEI-2026-00561 We have the power of over 50,000 students and co-workers. Students who provide hope for the
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computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring
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with charge transport models. The work will involve the implementation of a delocalized kinetic Monte Carlo method that integrates coupled electronic and ionic transport on parallel high-performance
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in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
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-specific digital twins for cardiovascular diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D
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not possible in the liquid phase. The use of vapor phase in heterogeneous catalysis can enable new chemistries because: Vapor-phase processing increases reactant diffusion rates by several orders of
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, signal and image processing, data-driven and physics-based models, as well as clinical validation and implementation. Neuroengineering increasingly incorporates AI‑based approaches to support
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isotopes to enable metabolic flux analysis. The position further includes data processing and interpretation, scientific reporting, and participation in the planning, execution, and publication of
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months of planned secondments: 4 months at Earth Species Project: Develop AI pipeline for acoustic data processing 3 months at Kyoto University: Hypothesis testing with Okinawan data 2 months at Think
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and optimization of stretchable conductive inks based on biochar and conducting composites. Fabrication of electronic devices and sensor systems using solution processing and printing technologies