Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Argonne
- Delft University of Technology (TU Delft)
- University of Oxford
- University of Washington
- Empa
- National Energy Technology Laboratory (NETL)
- Stanford University
- Stony Brook University
- Umeå University
- Adam Mickiewicz University, Poznań
- Baylor College of Medicine
- East Carolina University
- George Washington University
- Heidelberg University
- Lawrence Berkeley National Laboratory
- Loyola University
- Pennsylvania State University
- Rutgers University
- SUNY University at Buffalo
- Singapore-MIT Alliance for Research and Technology
- The Ohio State University
- University College Cork
- University of Colorado
- University of Maryland, Baltimore
- University of Twente
- Brookhaven National Laboratory
- CEA
- CIC bioGUNE
- Carnegie Mellon University
- Cornell University
- EPFL
- FAPESP - São Paulo Research Foundation
- Helmholtz-Zentrum Geesthacht
- Heyrovský Institute of the CAS, v. v. i.
- IMT Mines Ales
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institute for bioengineering of Catalonia, IBEC
- Instituto Superior Técnico
- Iowa State University
- Istituto Italiano di Tecnologia
- Luleå University of Technology
- Lunds universitet
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Mohamed bin Zayed University of Artificial Intelligence
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Queen Mary University of London
- St Jude Children's Research Hospital
- Technical University Of Denmark
- Technical University of Munich
- The University of Arizona
- UNIVERSITY OF VIENNA
- Umeå universitet
- Umeå universitet stipendiemodul
- Universitat Autònoma de Barcelona
- University of Amsterdam (UvA)
- University of Kentucky
- University of London
- University of Miami
- University of Minnesota
- University of Nebraska Medical Center
- University of North Texas at Dallas
- University of Oxford;
- University of Southern Denmark
- University of Sydney
- University of Texas at Arlington
- University of Twente (UT)
- Universität für Bodenkultur
- Université Grenoble Alpes
- Washington State University
- 64 more »
- « less
-
Field
-
distribution, and therapeutic efficacy in joint disease models. Technology Translation: Drive the translation of the nanomotor platform from preclinical research toward clinical application. Data Analysis
-
the following areas will be considered: Microscopy development and applications: Design, construction and application of high-speed 3D microscopy methods including our SCAPE / light-sheet approaches, two-photon
-
cryo-EM or cryo-ET data analysis, including areas such as tilt series alignment, 2D/3D template matching, or subtomogram averaging. Experience with handling, culturing and manipulation bacterial and
-
) and statistical genetics (GWAS, PRS, etc.) and related tools (e.g., PLINK). Experience with either 3D image processing (e.g., brain PET and MRI analysis) or statistical genomics (GWAS, PRS calculation
-
processes for energy storage applications. The researcher is expected to use solution-based synthesis approaches (e.g., electrospinning, slot-die coating, and 3D printing) to fabricate battery electrodes and
-
, implementation, and analysis of scientific research in the discipline of atmospheric acoustics. In addition to research experience (developing and conducting experiments, analyzing data, writing peer-reviewed
-
, modeling, and/or development of novel systems and/or conduct experimental testing and analysis as applied to one of the technical areas listed above. Responsibilities also include: identifying relevant
-
spatial resolution and implement quantitative phase imaging to enable 3D imaging and calibration-free mass concentration mapping. The fellowship holder will then have the opportunity to investigate
-
experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
-
National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 hours ago
reservoir parameters (e.g., porosity, permeability) and quantify subsurface uncertainty through stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core