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preserved fossils from NW Canada in the Museum's research collection, including the imaging, microscopy, sample preparation and geochemical analysis. Examine existing collections for related material and
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quantitative imaging: e.g., confocal/super-resolution microscopy, live-cell imaging, image-based morphodynamic analysis * Molecular and cellular engineering approaches: e.g., CRISPR-based perturbations, reporter
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, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics Background in brain tumor biology Knowledge
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to develop prototype solutions and decision-support tools. Analyse results and assess the performance and applicability of developed methods in realistic operational scenarios. Prepare technical reports
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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to mitigate equine musculoskeletal health risks. · Collect and process data within the disciplines of epidemiology, diagnostic imaging and pathology, using state-of-the-art technologies. · Write
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complex biological data. Preferably experience with medical imaging analysis, particularly MRI data processing and interpretation. Keen interest in translational research that bridges AI with clinical
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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on cell biophysical properties. To validate MRR as novel CQA in stem cell manufacturing. Key Responsibilities: Design and develop a microfluidic prototype to analyse the electrical signals of cells
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spectrometry and/or imaging datasets, including multivariate data analysis for feature discovery. Demonstrated expertise in nanoparticle-based assays and/or bead-assisted flow-cytometry approaches for EV