23 structural-engineering "https:" "https:" "https:" "https:" "https:" research jobs at University of Miami
Sort by
Refine Your Search
-
engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists
-
demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
-
line technology, and AAV or CRISPR genome editing Previous work-related experience including molecular biology, gene therapy, and a background in experiences with animal sensory evaluation both in
-
executing hypothesis-driven experiments using genetically engineered mouse models (GEMMs), orthotopic/xenograft systems, and advanced molecular and cellular techniques to explore tumor progression, immune
-
. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
-
office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department
-
. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
-
. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues
-
office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. This is a core job
-
immunohistochemistry, to highlight cellular structures. Quality Control: Monitor reagent performance, equipment function, and staining consistency. Data Management: Accurately document specimen details and procedures in