Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- The Ohio State University
- University of Central Florida
- DePaul University
- Stony Brook University
- Baylor College of Medicine
- University of Colorado
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Southern California
- AcademicTransfer
- Argonne
- Cornell University
- Lawrence Berkeley National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Stanford University
- University of California
- University of Kansas
- University of Oklahoma
- University of South Carolina
- University of Southern Denmark
- Utrecht University
- Wageningen University and Research Center
- 13 more »
- « less
-
Field
-
Schedule: Summary The Zoghbi lab is seeking a postdoctoral research fellow to lead projects at the forefront of neuropsychiatric genomics, transcriptomics, and proteomics. The Zoghbi lab is leading several
-
-based topology optimisation and de-homogenisation Adaptive meshing algorithms for topology optimization PDE-driven topology optimisation methods Research fund application Collaboration with industrial
-
candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
-
Description The Humanities Institute and the Center for Folklore Studies at The Ohio State University is hiring for a Post Doctoral Scholar position in Folklore in the Age of Algorithms and AI for the upcoming
-
learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
-
Scholar position in Folklore in the Age of Algorithms and AI for the upcoming 2025/2026 academic year. The digital and social media platforms where we conduct much of our everyday expression today
-
absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one
-
will be on developing new mathematical and algorithmic tools that advance our understanding of these areas and their connections. Possible research directions include explicit constructions of error
-
advanced automated machine startup and commissioning tools. What You Will Do: Conduct pioneering research in the development and application of machine learning algorithms for accelerator physics
-
and commissioning tools. What You Will Do: Conduct pioneering research in the development and application of machine learning algorithms for accelerator physics. Collaborate with interdisciplinary teams