31 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIS"-"DIFFER" Fellowship positions
Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- University of Bergen
- Carnegie Mellon University
- Singapore Institute of Technology
- ;
- AbbVie
- FCiências.ID
- George Mason University
- Harvard University
- Johns Hopkins University
- Marquette University
- Massachusetts Institute of Technology
- Northeastern University
- UNIVERSITY OF SOUTHAMPTON
- University of Maryland, Baltimore
- University of Sydney
- Western Norway University of Applied Sciences
- Zintellect
- 8 more »
- « less
-
Field
-
of recommendation algorithms based on multiple data related to microorganisms and pathogens, and the implementation of the recommendation system on a testable platform. The work also includes the writing of technical
-
of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. This opportunity has multiple projects based out of the ERDC Field Research Facility in
-
cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
-
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
-
algorithm that reliably simulates two-phase flow. The PhD projects will be part of developing and analyzing relevant numerical methods and implement them in an open-source framework that will be made openly
-
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
-
dialogue on AI governance. Manage multiple projects simultaneously, ensuring timelines are met and resources are effectively allocated. Collaboration & Knowledge Exchange Collaborate with policymakers
-
and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous PhD project. In addition to electromagnetic geophysics
-
literature review, algorithm design, experiment design, model training, evaluation, and benchmarking. Work with and supervise undergraduate or graduate student assistants, guiding them in data collection
-
Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple