Sort by
Refine Your Search
-
the institutional learning management system. About you: Our ideal candidate will have: Attention to detail. Excellent computer skills. Experience with Microsoft and/or Apple OS and applications, Canvas Learning
-
science field is required for this position. Expertise in modeling and/or experimental techniques, machine learning, or other methods used for the mechanical and physical characterization of materials is
-
. Experience acquiring, bidding, or sourcing goods and services. Computer experience such as MS Office (Word, Excel, Outlook), bid software, contract management software, Smartsheet, etc. Experience working in
-
after that. We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics
-
of this work are to 1) develop a more complete understanding of proteomic changes in postmortem muscle and 2) utilize machine learning techniques to predict fresh meat quality based on proteomic, metabolomic
-
Position Title: Engineer I Job Group: Professional & Scientific Required Minimum Qualifications: Bachelor’s degree Preferred Qualifications: • Experience operating lathes, mills, CNC machines and/or
-
experimental techniques, machine learning, or other methods used for the mechanical and physical characterization of materials • Background in soft matter and/or data-driven research in polymer science
-
used for a variety of academic, research, and administrative functions • Support the Department and College VDI pools • Assist researchers in areas like A.I. and machine learning by recommending
-
is in scientific machine learning and/or numerical PDEs, aligning with research interests of Prof. Hailiang Liu. Topics of interest include data-driven modeling, optimal control with deep neural
-
Qualifications: Bachelorâs degree Preferred Qualifications: ⢠Experience operating lathes, mills, CNC machines and/or general shop tools. ⢠Experience with mechatronics, electrical equipment, data