Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Bergen
- Nanyang Technological University
- Northeastern University
- Harvard University
- University of British Columbia
- University of Oslo
- George Mason University
- Johns Hopkins University
- Singapore Institute of Technology
- Carnegie Mellon University
- Florida Atlantic University
- Genentech
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Marquette University
- National University of Singapore
- UNIVERSITY OF SOUTHAMPTON
- University of Maryland, Baltimore
- University of Michigan
- University of South-Eastern Norway
- University of Texas at Austin
- University of Waterloo
- Western Norway University of Applied Sciences
- 13 more »
- « less
-
Field
-
duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision support and automation; Developing agriculture digital twin
-
experimental cancer biologists to address major scientific problems. The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing
-
use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
-
coordinated control of e-vessel microgrid of multiple energy sources considering cost, carbon, and operation constraints. Perform HIL/real-time simulation studies/experiments with EMS controller for various
-
technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
-
algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
-
to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
-
not limited to using UAV platforms to characterize active fire thermal and gas emissions, improve spreading models and detection algorithms, and assessing post-fire effects. The aim of the project is to
-
technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
-
at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their