22 programming-"https:"-"https:"-"https:"-"IFM" Postdoctoral research jobs at University of Miami
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the program to different populations and technologies. The primary project management roles will involve working with external vendors to develop a reactive native app, customized AI chatbot, and other updates
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funded by the NOAA Global Ocean Monitoring and Observing (GOMO) program. The primary objective of this role is to undertake a comprehensive investigation to quantify the impact of various ocean
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in Miami, FL. The Postdoctoral Scholar will be responsible for developing and leading research projects, conducting data analysis, and implementing programs in Artificial Intelligence in Medical
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, establishes priorities, and recommends schedules. 2. Presents research findings at local and national scientific conferences. 3. Writes technical publications and reports. 4. Designs and writes programs
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maligancies. The goal of these studies is to identify epigenetically regulated programs that become deregulated and contribute to the development of these diseases. Applicants should hold a PhD and/or MD degree
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science frameworks to public health programs addressing HIV, HCV, substance use disorder and homelessness. Participate in interdisciplinary projects that examine how policy, practice, and system-level
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at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results. Collects pilot data to help
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building for new research initiatives, particularly those related to economic impact and implementation science, with a focus on programs and systems addressing substance use disorders. Strengthen
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. Familiarity with the Seahorse Extracellular Flux Analyzer and mitochondrial functional assays. Experience in R programming, Illustrator and Prism. The University of Miami offers competitive salaries and a
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model