19 programming-"SciLifeLab" Postdoctoral research jobs at University of Miami in United States
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The Postdoctoral Research Associate in Pancreatic Cancer Biology will play a central role in advancing a high-impact translational research program within the Department of Surgery at the University of Miami, Miller
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) are fully benefited employees with UM health insurance/dental/vision, life insurance, retirement program, etc. Applicants from groups that are traditionally underrepresented in the STEM are strongly
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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 to perform
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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 to perform
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programs to perform analysis and produces written reports on results. Collects pilot data to help support new and competing renewal applications. Supervises undergraduate and graduate research students and
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the dissolution capability of microneedle patches and transdermal drug release by plasma sample analysis focused on animal models. Finally, the research plan will include a component of simulation to describe
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: Strong foundation in statistical theory; ability to derive and clearly communicate methodological results. Advanced R and/or Python programming skills in statistical analysis, simulation, and computation
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its Creative Technologies Program. The Post Doctoral Associate provides support for collaborations and projects with the UM research community, other academic institutions, and with industry to leverage
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries