Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- National University of Singapore
- University of Bergen
- ;
- Northeastern University
- The University of Queensland
- University of Birmingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- University of British Columbia
- University of Michigan
- Carnegie Mellon University
- KINGS COLLEGE LONDON
- Nature Careers
- Simons Foundation
- Singapore Institute of Technology
- The University of Alabama
- University of Cincinnati
- University of Glasgow
- University of Sydney
- University of Warwick;
- University of Waterloo
- AbbVie
- Australian National University
- Curtin University
- Edinburgh Napier University;
- Genentech
- George Mason University
- Harvard University
- Johns Hopkins University
- King's College London
- Koziarski Lab - The Hospital for Sick Children
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Marquette University
- Monash University
- Nova School of Business and Economics
- RCSI - Royal College of Surgeons in Ireland
- RMIT UNIVERSITY
- RMIT University
- Ryerson University
- Simula Research Laboratory
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF SURREY
- Universidade Nova de Lisboa
- University of Adelaide
- University of Agder
- University of Alabama, Tuscaloosa
- University of Galway
- University of Leeds
- University of Michigan - Ann Arbor
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of South-Eastern Norway
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 48 more »
- « less
-
Field
-
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
-
will contribute to developing knowledge-driven decision-making models. The postdoctoral research fellow will actively participate during the supervision process of PhD-students as main or co-supervisor
-
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
-
. There are opportunities to broaden out into other areas such as new algorithm development, and advanced computational methodologies for integrated analyses. You will have a key role in planning, designing and executing a
-
interaction and analytics using AI. Key Responsibilities: Development of artificial intelligence (AI) technologies to perform human-robot interaction and analytics System integration of the developed algorithms
-
the PhD has been awarded at the latest within 5 months after the closing date for applications. The applicant must have good programming skills, excellent knowledge of algorithms, numerical methods, and
-
the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
-
frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
to remove PFAS. To accomplish these goals, the candidate will participate in the development of AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross