Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Economics
- Medical Sciences
- Biology
- Computer Science
- Business
- Education
- Engineering
- Arts and Literature
- Social Sciences
- Materials Science
- Mathematics
- Humanities
- Science
- Chemistry
- Environment
- Law
- Linguistics
- Psychology
- Sports and Recreation
- Physics
- Design
- Earth Sciences
- Electrical Engineering
- Philosophy
- 14 more »
- « less
-
Instr Fac/TC and Coord Cmp Add to My Favorite Jobs Email this Job About the Job About the Job The Department of Electrical and Computer Engineering, University of Minnesota Twin Cities invites
-
human vagus nerve stimulation and functional effects across the body. Experience in processing and modeling imaging data with predictive models. Experience in grant writing and working with large grant
-
processes) or Moving Images (narrative filmmaking, experimental filmmaking, super 8 and 16 mm analog filmmaking, or 2D and 3D digital animation). Additionally, strong candidates will have demonstrated
-
teams of engineers and students. Responsibilities: • Development of pTx optimization strategies for head and body imaging applications on human ultrahigh field MRI systems • Design strategies and
-
Functions Classroom technology: (75%) ● Install Data projection systems, audiovisual automation control systems, computer and Ethernet interfaces and associated media equipment. ● Build and install equipment
-
technology. Job Description: The candidate will be trained in techniques spanning protein engineering and synthetic biology, cellular resolution voltage or calcium imaging in rodents during attention/virtual
-
). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
-
Job Code 8222FG Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job POSITION OVERVIEW This position is part of the College of Science and Engineering Shared Services Team
-
. Experience in deep learning and image analysis is strongly preferred. Qualifications Required Qualifications: PhD in biotechnology, biomedical engineering, or related area, with one or more years of
-
of water resources and environmental engineering. The department features state-of-the-art experimental facilities, including multiple excellent core facilities (imaging, genomics, research computing, etc