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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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; Demonstrated expertise in social media mining and analysis of cyber campaigns; Extensive experience in studying multimedia-rich social media platforms and their impacts; Expert in qualitative data
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will have a secondary office space. The Department of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data
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to University and unit-level policies and procedures and safeguards University assets. Develop various machine learning and data mining models including deep convolutional neural networks (CNNs
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data organization and/or data mining structures, at the time of application. Additional qualifications (required at time of start) Employment at the Full Specialist level may be considered for
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 3 hours ago
, data mining, data analysis, Pharmacomatrics, Pharmacology, and has software skills such as NONMEM, R or Python, SAS, etc. Point of Contact Ashley Eligibility Requirements Citizenship: LPR or U.S
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 3 hours ago
, simulation, data analysis and data mining, and establishes the scientific computing infrastructure for OGD. DQMM is also developing innovative quantitative approaches to improve regulatory decision