Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- University of Oslo
- National University of Singapore
- University of Stavanger
- University of Bergen
- Center for Drug Evaluation and Research (CDER)
- University of British Columbia
- University of South-Eastern Norway
- Zintellect
- Dana-Farber Cancer Institute (DFCI)
- Universidade do Minho
- Center for Biologics Evaluation and Research (CBER)
- Harvard University
- INESC TEC
- TAIPEI MEDICAL UNIVERSITY (TMU)
- UiT The Arctic University of Norway
- Yale University
- Center for Devices and Radiological Health (CDRH)
- Centro de Engenharia Biológica da Universidade do Minho
- Corify Care
- Dana-Farber Cancer Institute
- Ellison Institute of Technology
- Indiana University
- Institute for Basic Science
- National Center for Toxicological Research (NCTR)
- Oslo Metropolitan University
- Oslo University Hospital
- OsloMet
- SUNY University at Buffalo
- SciLifeLab
- Trinity College Dublin
- University of Birmingham
- University of Florida
- University of London
- University of Maryland, Baltimore
- University of New South Wales
- University of Notre Dame
- University of Sussex;
- University of Texas at Austin
- Wayne State University
- 31 more »
- « less
-
Field
-
National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | 3 days ago
risk assessment of chemicals relevant to public health. Collaborative activities may include: Participate in the design and optimization of 3D human HepaRG spheroid–based experimental systems
-
mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how
-
development of low-dimensional nanophotonic structures for nano-optical applications. Key responsibilities Conduct research and develop theoretical models for nanophotonic systems based on low-dimensional
-
structures.; • Design and optimize, through full-wave electromagnetic simulations, a transparent unit cell operating in the FR3 frequency band.; • Investigate the integration of memristive switching devices
-
. You will lead and apply best practices in materials science and engineering. Key responsibilities include analysing material structures at the atomic level, conducting failure analysis, selecting
-
Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
and optimize (Q)SAR models Constructing chemical structure-linked knowledge bases Mentor: The mentor for this opportunity is Lidiya Stavitskaya. If you have questions about the nature of the research
-
partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
-
Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points