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Field
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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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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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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
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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The Department of Classics and Archaeology at the University of Nottingham is seeking a Research Associate/Fellow in digital curation and analysis to work on the AHRC-funded project Voices
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that investigate regenerative design and technology in the built environment, including developing indoor environmental quality (IEQ) assessments, undertaking analysis of multidisciplinary data, and applying
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position in the Department of Biomedical Sciences at Marquette University. The Evans lab studies neural control of sleep and daily rhythms, using real-time cellular imaging, genetic manipulations
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for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine. Statistical and computational genomics across diverse