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Field
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-based techniques into an existing heterogeneous computing paradigm, and evaluate their solution e.g. on the automated guided vehicles at a partner institution. Their secondary objective will be to develop
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disease progression Quantitative or computational skills are highly valued (e.g., Python/R, image analysis, genomics) Additional Qualifications If visa sponsorship is needed, Harvard retains the discretion
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experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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optical engineering: Imaging and image analysis, optical engineering, detector development, microscopy, X-ray optics • Structural Biology and Mechanical Engineering: Automation, high-precision mechanics
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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Council-funded programme grant. This will involve in-depth analysis of the interface between Klebsiella and the gut microbiome, leading to the discovery of microbiome consortia with enhanced colonization
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, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and
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Microscopy Imaging etc for the purpose of quantification of hardness, chewiness, springiness, fracture stress, and fracture strain for small sizes of food samples Compare the feasibility, resolution, and