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The NIH/NLM T15 program ( currently supports 18 top biomedical informatics and data science academic programs in the USA. This position is funded by a T15 award to MUSC and Clemson University.
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Experience in popular deep learning models (, LSTM, CNN, Resnet, Transformer, Large Language Models) and deep tabular learning models (, TabNet, TabTransformer)PREFERRED QUALIFICATIONS:PhD’s degree preferred in Computer Science, Data Science, Biomedical Informatics, a related field citizen or permanent resident preferred.
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Have a degree in Electrical Engineering (EE), Computer Science (CS), Biomedical Informatics, Biostatistics or a related field with solid programming skills. A Research Fellow position is now available in the bIomedical Knowledge Empowered AI lab (bio-IKEA) in the Department of Artificial Intelligence and Informatics under the mentorship of Dr. Nansu Zong. The position will be supervised by Dr. Zong who is specialized in 1) computational drug repurposing, and 2) deep learning-based predictive models.
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Participate with UTSW faculty in the design and execution of collaborative research studies in biomedical informatics, providing expertise on the HPC environment. Bachelor's degree in Computer Science, Engineering, Physics, or other field related to biomedical and computational research.
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Qualifications Required: Possession of a terminal degree in Medicine, Biomedical Informatics, Computer Science, Biostatistics, Epidemiology, Health Policy and Management, or an analogous field.
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The Department of Biomedical Data Science (DBDS) gathers the brightest people to work collaboratively, across academic disciplines, harnessing the power of biomedical informatics, biostatistics, computer science, and advances in Artificial Intelligence (AI) to revolutionize health care.
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Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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The most comprehensive academic health center in the UT System and the U.S. Gulf Coast region, UTHealth Houston is home to schools of biomedical informatics, biomedical sciences, dentistry, nursing and public health and the John P. and Kathrine G. McGovern Medical School.
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A PhD in one of the following quantitative disciplines: computer science, statistics, biomedical informatics, epidemiology, biostatistics, engineering, or other related quantitative fields.
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The Institute for Biomedical Informatics is looking for a Data Scientist II to join our team! Stay current on developments in data science, methods and best practices for health outcomes research.
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Manager of Communications - Remote/ Hybrid - School of Biomedical Informatics. We are looking for a Full-Time Manager of Communications to join the UTHealth School of Biomedical Informatics.
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PhD in Biomedical Informatics or a related field, such as, Computer Science, Statistics, Computational Biology, or Computational Chemistry. The Postdoctoral Associate will study and perform research in Biomedical Informatics, working on Bioinformatics and Data Science related research.
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Bachelor's Degree in Computer Science, Software Engineering, Informatics, Biomedical, or related technical field. Provide CAPA, complaints, audit and overall QMS support in regards to software.
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Possession of a terminal degree in Medicine, Biomedical Informatics, Computer Science, Biostatistics, Epidemiology, Health Policy and Management, or an analogous field. The Department of Health Informatics and Data Science within the Parkinson School of Health Sciences and Public Health and the Department of Surgery within the Stritch School of Medicine at Loyola University Chicago are seeking a candidate for a full-time, tenure-track faculty position at the assistant professor level.
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Master's degree in Cyber Security, Computer Networking, Computer Information Systems, Computer Science, or a related field and at least three years of industry experience in health informatics, health information technology, informatics, biomedical informatics, clinical epidemiology, public health, healthcare administration, and/or health data science, or related fields.
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