Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Aarhus University
- University of Houston Central Campus
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- ;
- Duke University
- Stanford University
- Technical University of Munich
- University of Kentucky
- University of Oslo
- University of Tübingen
- Durham University
- New York University
- Northeastern University
- University of Groningen
- University of Massachusetts
- University of Oxford
- University of Southern California
- University of Texas at Dallas
- Virginia Tech
- AALTO UNIVERSITY
- Cornell University
- European Space Agency
- Florida International University
- Heriot Watt University
- Leibniz
- MASARYK UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University in Abu Dhabi
- New York University of Abu Dhabi
- Princeton University
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of Cambridge
- University of Copenhagen
- University of Kansas
- University of Luxembourg
- University of Minnesota
- University of Nebraska Medical Center
- University of Oregon
- University of Southern Denmark
- University of Texas at Austin
- University of Texas at El Paso
- University of Virginia
- 38 more »
- « less
-
Field
-
in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
-
background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
-
and laboratory-based methods to investigate the long-term frequency and magnitude of historic and prehistoric earthquakes and tsunamis at the Cascadia, Alaska, and Chile subduction zones. The data
-
. The following will be considered advantages Good understanding of quantitative methods. Familiarity with established softwares for the analysis and processing of MRI images of the brain. Experience with
-
: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
-
machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
-
. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
-
fellowship must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in
-
Associate Professor Thor Grünbaum. The larger project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive
-
positive and supportive team environment. You prefer to stay organized and take pride in completing your tasks in a thoughtful and structured way. As a formal qualification, you must hold a PhD degree (or