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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Hong Kong University of Science & Technology Job Title: Faculty Positions Department: Division of Life Science Job ID: 9414 Job Posting Details The Division of Life Science (https://life
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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the computerized scheduling system in an accurate, efficient manner. Maintains scheduling (clinic-specific) information and computer knowledge to ensure safe and effective scheduling including preparation required
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laboratory techniques (mammalian and bacterial) Multi-omics data analysis CLSM and SEM imaging skills Strong analytical, problem-solving skills and Excellent written and verbal communication skills and ability
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of overall team plans and budgets. Train and mentor teams around systems and processes within diagnostic & imaging area. Perform other duties as assigned to meet the goals and objectives of the department and
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engineering in healthcare. Minimum Education and/or Training: Master's degree in computer science, computer engineering, data science, information technology or related field required. PhD degree in data
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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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mathematics and physical sciences, life sciences, and humanities and social sciences. IMB, comprising 31 faculty members, conducts fundamental research to advance the understanding of biological processes
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workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and interpretation, in particular image processing and analysis Present research reports