Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- New York University
- Stony Brook University
- European Space Agency
- Rutgers University
- Stanford University
- Technical University of Denmark
- University of Groningen
- University of Lund
- University of Miami
- University of Nevada Las Vegas
- University of North Texas at Dallas
- City University London
- Cornell University
- Duke University
- Durham University
- Forschungszentrum Jülich
- Ghent University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- Texas A&M AgriLife
- The Ohio State University
- UNIS
- University of Delaware
- University of Kansas
- University of Maine
- University of Nebraska Medical Center
- University of South Carolina
- University of Southern Denmark
- University of Texas at Dallas
- 21 more »
- « less
-
Field
-
capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. Must possess good organization and documentation skills and must demonstrate good communication skills in
-
Job Description Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a closely
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a
-
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
-
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
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
-
), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas