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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering or Data Science. Work plan: The objective is to develop a prototype system for the registration of medical images, namely
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data
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disease prognosis. This position offers a unique opportunity to work at the forefront of optical imaging technology, combining experimental optics with advanced computational and data-driven methods. Roles
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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willingness to learn to perform new techniques. Preferred Experience with mammalian tissue processing (dissections, cryopreservation, sectioning, imaging, etc.). Experience with 2D mammalian cell culture and/or
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP
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procedures. • Positions patients accurately to achieve high quality, diagnostic grade images. • Verifies scan quality and performs computer-based image and data processing. • Optimizes imaging techniques and
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
responsible AI. You will be a part of creating a Reviewer Checklist and a prototype AI assistant that demonstrate how analytical rigor and technology can advance FDA’s public health mission. This experience
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California State University, Los Angeles | Los Angeles, California | United States | about 19 hours ago
for the rights and sensibilities of each individual. The Department/Division School: The Department of Civil Engineering (https://www.calstatela.edu/ecst/ce) is in the College of Engineering, Computer Science, and