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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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physiology Competency in scientific programming (e.g. ImageJ, Python) for data analysis and image processing. About the Lab & Environment. The Krishnakumar lab is a highly collaborative group with access
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on investigating mechanisms of amyloid immunotherapy-related microhemorrhage in Alzheimer's disease using in vivo two-photon imaging of amyloid mouse models. Investigate the molecular and cellular processes
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research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular
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Contract: Full-time (35 hours per week), fixed term contract for 12 months Role description The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh
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assays) and high-resolution imaging approaches and quantifications from both mouse and human brains; mouse brain regional dissections; western blotting; and experiments in various in vitro culture systems
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and