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intelligence extraction workflows. The Tilburg PhD researcher will develop a methodological pipeline for analysing high-resolution microscopy data of integrated circuits, integrating computer vision, deep
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electron microscopy (cryo-EM), light microscopy, sequencing, and proteomics. For more information, please visit https://www.helsinki.fi/hilife/bi Additional information For further inquiries regarding
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, establishing phage-host systems, performing quantitative infection assays under defined physiological conditions, and using fluorescence or time-lapse microscopy to link pre-infection state to infection outcome
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for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing (HPC) and scalable AI pipelines
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test circuits, interfaces or PCBs. Experience characterising nonlinear, threshold, pulsed or transient behaviour in electronic or microfabricated devices. Optical microscopy, profilometry or related
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Giorgio Divitini, who has extensive experience in Electron Microscopy technique development and applications. The research focuses on furthering and applying the state of the art in electron microscopy
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Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT | Poland | about 1 month ago
, lithography, plasma deposition, and thermal processes Development and execution of inter-process inspections, including scanning electron microscopy, optical microscopy, atomic force microscopy, ellipsometry
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
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-paracrystalline (SPC) microstructure and the nanomorphology of donor-acceptor (BHJ) blends using techniques such as GISAXS and transmission electron microscopy (TEM) (Task 3.1). • Evaluation of the degradation and
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of donor-acceptor (BHJ) blends using techniques such as GISAXS and transmission electron microscopy (TEM) (Task 3.1). • Evaluation of the degradation and aging of simple OSC devices, correlating the temporal