Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Aarhus University
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- KTH Royal Institute of Technology
- CNRS
- King Abdullah University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Universidade de Coimbra
- Aalborg University
- Chalmers University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- University of South Carolina
- Aarhus University (AU)
- Delft University of Technology (TU Delft)
- Leiden University
- Pennsylvania State University
- SciLifeLab
- The Ohio State University
- Umeå University
- University College Cork
- University of Oxford
- University of Texas at Arlington
- University of Washington
- Austrian Academy of Sciences, The Space Research Institute (IWF)
- Copenhagen Business School
- EPFL
- Erasmus University Rotterdam
- European Magnetism Association EMA
- INSERM
- Institute for bioengineering of Catalonia, IBEC
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Geological Sciences, Polish Academy of Sciences
- Instituto Politécnico de Bragança
- Iowa State University
- Lunds universitet
- Massachusetts Institute of Technology
- Michigan Technological University
- National Energy Technology Laboratory (NETL)
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Aveiro
- University of California
- University of Colorado
- University of Lund
- University of Miami
- University of Nevada Las Vegas
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Oxford;
- University of Twente
- University of Twente (UT)
- Uppsala University
- Washington State University
- Washington University in St. Louis
- Zintellect
- 50 more »
- « less
-
Field
-
thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
-
excellence in battery research and education for the transport sector, KTH join forces with a coordinated initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing
-
research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary, entrepreneurship and collaboration with
-
components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability
-
with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in Memory (PROMEMO) funded by the Danish National Research
-
mitigation strategies. Monitor and record substrate composition, larval growth, survival, biomass yield, feed conversion efficiency, and frass output. Coordinate mid-scale validation trials, simulating
-
investigating how microglia respond to challenges in brain organoid models. This will involve developing and applying advanced human iPSC-derived microglia–enriched cortical organoid models to investigate how
-
started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working environment. OUR MISSION: Support Energy transition by
-
of the material composition of rocks and ices forming in the disks. Your Tasks Prepare archival and new observational data (for example ALMA or JWST) for analysis and modelling, including high-quality data
-
Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working