24 big-data-and-machine-learning-phd Postdoctoral positions at University of North Texas at Dallas
Sort by
Refine Your Search
-
applications. • Strong programming skills (e.g., Python ) • Strong machine learning skills applicable to manufacturing processes Preferred Qualifications • Ability to perform experiments and data analysis
-
for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
-
standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure
-
for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
-
/Certifications Job Duties: Perform computer simulation, perform experiment design and testing. Writing project reports, and grant proposals. Supervise and collaborate with graduate students in the lab. Publish
-
in computational biology, bioinformatics, biological systems modeling, flux balance analysis, and machine learning. Analytical chemistry experience with HPLC, GC, GC- and/or LC-MS Required License
-
for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
-
will join a multidisciplinary team to work on cutting-edge research projects to develop and apply data mining/machine learning approaches on high dimensional biological and clinical datasets. The initial
-
in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your
-
++, and Python. Preferred Qualifications Prior research experience in computer systems and distributed computing is preferred. However, strong research experience in developing/applying machine learning