Sort by
Refine Your Search
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- University of Oslo
- National University of Singapore
- 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)
- Center for Biologics Evaluation and Research (CBER)
- Harvard University
- TAIPEI MEDICAL UNIVERSITY (TMU)
- Yale University
- Center for Devices and Radiological Health (CDRH)
- Centro de Engenharia Biológica da Universidade do Minho
- Dana-Farber Cancer Institute
- Ellison Institute of Technology
- Indiana University
- Institute for Basic Science
- National Center for Toxicological Research (NCTR)
- SUNY University at Buffalo
- SciLifeLab
- Trinity College Dublin
- UiT The Arctic University of Norway
- Universidade do Minho
- 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
- 25 more »
- « less
-
Field
-
Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
quality attributes. Data-driven models for process optimization, real-time release testing, and manufacturing process control. Mechanistic and mathematical models of pharmaceutical unit operations
-
15th August 2026 Languages English Norsk Bokmål English English Are you interested in work motivation and optimal functioning at work? PhD Research Fellow in Management: Motivation Apply
-
National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | 4 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
-
. 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 3 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