22 computational-complexity-"Prof"-"Prof" Postdoctoral research jobs at University of Miami
Sort by
Refine Your Search
-
. Implements and optimizes computing workflows using high-performance computing clusters. Prepare manuscripts, abstracts, and presentations, present findings at internal meetings and international conferences
-
molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
-
for the assigned department(s) including data compilation, manipulation, and presentation. Additionally, the Research Assistant Intern leverages knowledge to perform complex duties involved in conducting physical
-
complex data sets generated from experiments, often using bioinformatics tools and statistical methods to interpret results and draw meaningful conclusions. Publication and Dissemination: Writing and
-
Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and
-
the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
-
team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
-
team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
-
) 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
-
Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning