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several cancer research groups represented, including joint seminars and other collaborative activities. The group uses various data sources and modern techniques to improve predictive modelling, including
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pathways to control or eliminate Ct infection. The work tasks will include: Designing and performing experiments Data analysis and manuscript preparation Presentation of results internally and externally
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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detection Domain adaptation Few‑shot learning Graph‑based models Vision transformers and/or diffusion models 2D+time (video) segmentation Qualifications To be eligible for a postdoctoral fellowship, the
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from a multi-layer perspective, focusing on SDN-controlled networks and vulnerabilities in virtualized scenarios. The work involves developing multi-layer risk models, creating risk mitigation tools
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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tumor progression The project combines experimental model systems, patient material, metabolic and mitochondrial analyses, antiviral strategies, and AI-based drug discovery. Key Goals of the Project
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the clinical effects in mouse models of arthritis. Your mission We are seeking a highly motivated postdoctoral researcher with strong expertise in in vivo pharmacology, pharmacognosy or experimental therapeutics
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mechanistic modelling, the project seeks to advance fundamental understanding of how complex environmental perturbations influence infectious disease emergence, spread, and persistence across coupled human