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and skills in various aspects of computing, including but not limited to the following: algorithm development, predictive model design and implementation, data mining and machine learning, big data
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aging. 2. Perform literature searches, data mining, and organization of research information. 3. Conduct basic data processing and statistical analyses using R or other
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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | about 1 month ago
develop a research program involving artificial intelligence, mining of large-scale data, or cancer prevention (even if they have not explicitly worked on cancer prevention before). The Candidate selected
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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portfolio management. Core accountabilities: Advanced Prospect Analytics & Innovative Data Intelligence (60%) Lead Generation & Data Mining: Proactively identify untapped donor pools using cluster analysis
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informatics analytics, controlled terminology, clinical workflows, user interface optimization, clinical decision support, data integration and mining, clinical ontologies and adoption of technology
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health systems and communities. Duties and Responsibilities: Assist with data mining and extraction from clinical databases and electronic health records (EHRs) using SQL, business intelligence
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studies of highway runoff, wastewater treatment plants and legacy mining areas. The studies will explore how in situ sensing can support action to tackle copper pollution by providing timely evidence
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, handling, and experimental work under strictly anaerobic conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis
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solution products for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and