32 parallel-computing-numerical-methods Postdoctoral positions at University of Miami in United States
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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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biogeochemical responses. ● Explore impacts on climate, oceans, coasts, and marine ecosystems using outputs from numerical simulations. ● Present findings at scientific meetings and publish results in peer
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to investigate questions related to cell adhesion or morphogenesis. Other essential qualifications are a experience with computational and statistical methods, a strong work ethic, the ability to work in an
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and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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. The T32 Training and Mentoring program brings participants to the Department of Psychiatry and Behavioral Sciences at the University of Miami for a two-year postdoctoral learning experience where they will
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research students and performs literature reviews. Adheres to University and unit-level policies and procedures and safeguards University assets. Department Specific Functions Program Objectives: Provide
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Specific Functions Review laboratory methods, scientific journals, abstracts and other literature for information applicable to research experiments. Develop new methodology or expand existing one. Recommend
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subseasonal precipitation forecasts. The postdoc will be working to develop a real-time forecasting tool to improve U.S. Week 3-4 precipitation forecasts with innovative data science methods to provide
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology
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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction