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and regenerative medicine Team worker Desirable criteria Original research publications Presentation skills Knowledge of bioinformatics Please note that this is a PhD level role but candidates who have
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Qualifications* Master's degree in Computer Science, Bioinformatics, Clinical Informatics, Statistics, Data Science, or a related field. Familiarity with ML techniques including time-series analysis, imbalanced
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health, medical data science, computational medicine, and bioinformatics with capability in developing innovative research, teaching, and technology transfer programmes that bridge AI and medicine
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, artificial intelligence, biostatistics or bioinformatics are preferred. The selected applicants are expected to participate in the course development at the graduate and undergraduate level. Qualifications
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to applicants with a Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. Candidates who are finishing their Master's thesis
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to develop research profile, travel for conferences and presentations, as well as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science
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of Pittsburgh. DBMI has eighteen primary faculty members with a focus on developing and applying AI/ML methods in clinical informatics, translational bioinformatics, clinical research informatics, and public
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on genomics and genome-wide association studies To conduct data analysis using state-of-the-art computational, statistical and bioinformatic methods Analyse large-scale genomic and clinical datasets. To take
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
tracks the flow of samples and information for large-scale studies. Provides web-based bioinformatics and access to public and proprietary databases. The scope of work will include anayzing biological
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facilities, including Colorado’s only National Cancer Institute Designated Comprehensive Cancer Center, as well as Genomics, Bioinformatics, and Organoid Shared Resources. Why work for the University? We have