Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
-
ethical frameworks. Proficiency in Python and experience with relevant libraries for AI/ML development. Experience with advanced AI methodologies including deep learning, transfer learning, and neural
-
degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience
-
, and simulation studies. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency. Implements and optimizes computing
-
Associate Level I will extract, organize and analyze large amounts of data. Familiarity with computer programming (python, R, stata) is required. The University of Miami offers competitive salaries and a
-
interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through
-
SAML. 14. Automation: Familiarity with automation tools (e.g., Python, Bash, Ansible) can be a plus. 15. Training: Provide training and guidance to other engineers. 16. Collaboration: Collaborate with
-
research, computational approaches such as text mining, big data analytics, Python programming, and network analysis, as well as UX research methodologies to analyze audience behavior and media engagement
-
Language Models, and image recognition; web scraping; and API interaction. Demonstrated proficiency in programming languages such as Python, R, or similar. Demonstrated background in Computational Social
-
.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data