Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- New York University
- European Space Agency
- Pennsylvania State University
- Stanford University
- Technical University of Denmark
- The Ohio State University
- University of Groningen
- University of Miami
- University of North Texas at Dallas
- University of Southern Denmark
- City University London
- Duke University
- Durham University
- Forschungszentrum Jülich
- Georgia Southern University
- Ghent University
- Kennesaw State University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Renewable Energy Laboratory NREL
- Rutgers University
- Stony Brook University
- Texas A&M AgriLife
- UNIS
- University of Delaware
- University of Lund
- University of Maine
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of South Carolina
- University of Texas at Dallas
- 21 more »
- « less
-
Field
-
are encouraged to Be Curious about opportunities 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
-
to communicate with other researchers and staff in person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. Must possess
-
, Astronomy, or a closely related field is required. Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage. Additional Information Applications must be submitted
-
Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
-
external) How to Submit Application Materials: To begin the application process, please send an email using the subject line “Postdoctoral Position in Machine Learning for Advancing Mental Health” to Tina
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a
-
rise (SLR) and flooding. Integrate field data (e.g., salinity, nutrient levels, soil and water properties) into the development of numerical models to enhance predictive accuracy. Apply machine learning