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mononuclear cell (PBMC) analysis and RNAseq, as well as whole slide images (WSI) and immunohistochemistry images on an OMERO online repository. With funding from Cancer Research Horizons, the data is being
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→ ρ′) to maintain fidelity; and (iii) evaluating entanglement stability and routing performance using metrics such as reliability (β = P(successful routing)), coherence time (Tc), and entanglement
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analysis · Tissue processing and staining · Cell/tissue imaging techniques such as fluorescence and confocal microscopy Online Application Required Documents Curriculum Vita Name and Contact Information
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-Tenure) The University of Pittsburgh, Department of Radiology is recruiting for a qualified imaging research assistant professor to assist with clinical and research imaging analysis. This will be a full
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conjunction with imaging techniques (TEM, SEM, and AFM). This research project falls within CERMAV's key research areas and is being carried out within the “Self-assembly and Physicochemistry of Glycopolymers
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 19 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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, magnetic resonance imaging, and ultrasound imaging to evaluate tendon properties. There are extensive collaborations with the Department of Biomedical Engineering and Health Sciences. The candidate will also
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young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance