Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
/or office. Experience working with students and faculty in a higher education and/or academic medical environment. Knowledge, Skills, and Abilities: Able to perform basic computer functions. Learn and
-
reason. Job Description (Required by Rule) * Applications are accepted electronically ONLY at www.cu.edu/cu-careers * The department is committed to excellence in teaching, enabling learning and
-
publications per year. Key Responsibilities: The Junior Data Scientist works with department leadership and clinicians to develop and deploy machine learning algorithms and data analytics to improve patient care
-
% Use or implement components of machine learning, dimensionality reduction, and statistical modeling for neuroscience data 5% Integrate workflows with high-performance computing (HPC) environments
-
Corcoran. This includes manual and semi-automated review of video data, development of machine learning image analysis techniques and quantitative analysis of results. Working with undergraduate students in
-
of Liberal Arts and Sciences at the University of Colorado Denver. We seek candidates who can teach core undergraduate courses including Introduction to Biological Anthropology, Human Evolution, Introduction
-
support for research and learning facilities, in a manner that promotes the university’s mission of health care, education, and research. This work unit is responsible for monitoring and responding to calls
-
Denver Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We’re the state’s premier public urban research university with more than
-
pursue. If you’re passionate about making a difference, contributing to a dynamic team, and supporting a mission that matters, we encourage you to apply and be part of our journey. Learn more about CU
-
#:36919 Job Summary: Nature of Work: The Research Scientist is responsible for designing and implementing machine learning models, deep learning architectures, and statistical methods to address complex