Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Rutgers University
- CNRS
- The Ohio State University
- Institut Pasteur
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Aarhus University
- Argonne
- Leibniz
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stanford University
- University of Groningen
- University of North Carolina at Chapel Hill
- University of Oslo
- University of Oxford
- University of South Carolina
- VIB
- ;
- ASNR
- Aalborg University
- Baylor College of Medicine
- CWI
- Copenhagen Business School , CBS
- Duke University
- Eindhoven University of Technology (TU/e)
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- Faroe Marine Research Institutes
- Forschungszentrum Jülich
- Genentech
- George Washington University
- Imperial College London
- Lulea University of Technology
- Luleå University of Technology
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Maynooth University
- New York University
- Oak Ridge National Laboratory
- Pennsylvania State University
- RIKEN
- Technical University Of Denmark
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- The University of Iowa
- Umeå University
- University College Cork
- University of California Irvine
- University of London
- University of Lund
- University of Reading
- University of Turku
- University of Twente
- University of Virginia
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Virginia Tech
- 50 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
developing thermodynamic tools and experiments to predict the concentrations and identity of the complex organic molecules that could exist in the deep oceans, residual brines and rocky interiors
-
single-cell profiling and predictive artificial intelligence models, you will engineer synthetic promoters controlling context-specific gene expression in Arabidopsis. You will develop high-throughput
-
experimentally verified results is a necessary: - Autonomy with collaborative intelligence - Distributed task and motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in
-
and localization of a potential fault using the Matched Field Processing (MFP) method, based on the reconstruction of a response model of the inspected structure from the modal parameters predicted by
-
. Description We are looking for a postdoctoral computational biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel
-
predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
-
in the brain as well as the eye contribute. Since early risk prediction and timely intervention can mitigate vision loss, it is critical that we fully understand the underlying cause(s). This project
-
motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in constrained environments - Data-driven and learning based control - Meta-learning for emergent behavior in
-
very low; Propose characterisation of the soil properties collected from different studied farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition
-
farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition; Assess the effect of using organo-mineral resources on soil carbon stock in the field