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Field
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background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole-exome/whole-genome sequencing data
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not limited to, new algorithms, tools, AI-powered educational platforms) and in educational research on AI-literacy and digital learning. As AI is a fast-evolving field, establish a process to review
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will see multiple providers on their first visit, need diagnostics and additional visits such as genetics. This is identified prior to the patient coming for the first time. This work must occur in a
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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral
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develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future remote sensing missions. The team’s work bridges
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The Friedrich-Loeffler-Institut is one of the world’s leading research institutes in the field of animal diseases, animal welfare, animal husbandry, animal nutrition and farm animal genetics. It is
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, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
autonomous systems. Support development, testing, and evaluation of machine learning and autonomy algorithms. Assist with implementation of software frameworks and data processing pipelines. Provide technical
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resources. Maintains awareness of subject and disciplinary repositories of potential interest to the OU research community. Maintains awareness of tools and algorithms for computationally centered, data