Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- Nanyang Technological University
- UNIVERSITY OF SURREY
- Cornell University
- FCiências.ID
- Indiana University
- NTNU - Norwegian University of Science and Technology
- RMIT University
- UiT The Arctic University of Norway
- University of Surrey
- University of Texas at Austin
- Zintellect
- ADELAIDE UNIVERSITY
- Barnard College
- CSIRO
- Carnegie Mellon University
- Center for Drug Evaluation and Research (CDER)
- Duke University
- NTNU Norwegian University of Science and Technology
- RMIT UNIVERSITY
- Singapore University of Technology & Design
- The University of Queensland
- UCL;
- UNIVERSITY OF HERTFORDSHIRE
- UNIVERSITY OF SOUTHAMPTON
- Universidade de Coimbra
- University College Cork
- University of Agder
- University of Birmingham
- University of Hertfordshire;
- University of Leeds
- University of Lund
- University of Maryland, Baltimore
- University of Southampton;
- University of York;
- Université Gustave Eiffel
- 28 more »
- « less
-
Field
-
the research team members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents
-
of Coimbra III- Scientific supervision/coordination of the grant: João Nuno Gonçalves Costa Cavaleiro Correia IV - Work Plan / Goals to be achieved: Adversarial Robustness Objective: Research into state
-
complexity increase. The project will develop a simulation-based benchmarking framework that enables systematic exploration across controlled data-generating processes, explicitly designed to probe
-
on robustness, reliability, and trustworthiness. Developing evaluation methodologies that combine quantitative metrics with qualitative expert assessment. Investigating model behavior, failure modes, and
-
candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our
-
simulation-based benchmarking framework that enables systematic exploration across controlled data-generating processes, explicitly designed to probe the assumptions underlying common unsupervised workflows
-
, GC-MS/MS, pyrolysis-GC-MS, and high-resolution mass spectrometry) as required. You will establish robust sample preparation and separation methodologies, develop sensitive and rigorously quality
-
(local and/or global solar convection simulation datasets), including spectra, flow statistics, and diagnostics relevant to helioseismic inference. Development and maintenance of robust, reproducible
-
dynamics). Open, Reproducible Science Write clean, documented code; use version control (Git); build reproducible experiments. Prepare datasets and analysis outputs for publication and sharing (data
-
to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where