Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Aarhus University
- ICN2
- University of North Carolina at Chapel Hill
- University of Oslo
- Institut Pasteur
- Linköping University
- Technical University of Denmark
- DURHAM UNIVERSITY
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Technical University of Munich
- Texas A&M AgriLife
- Texas A&M University
- The Ohio State University
- Umeå universitet stipendiemodul
- University of Southern Denmark
- Aalborg University
- BARCELONA SUPERCOMPUTING CENTER
- CNRS
- Centre for Genomic Regulation
- Consejo Superior de Investigaciones Científicas
- Durham University
- Faculdade de Medicina da Universidade do Porto
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Heriot Watt University
- IFM/Linköping University
- IMT Mines Ales
- Istituto Italiano di Tecnologia
- Karolinska Institutet (KI)
- Linköpings universitet
- Lodz University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Maj Institute of Pharmacology Polish Academy of Sciences
- Oak Ridge National Laboratory
- Princeton University
- Purdue University
- RIKEN
- SLU
- SWPS University
- SciLifeLab
- Stanford University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Texas Christian University
- The University of North Carolina at Chapel Hill
- U.S. Department of Energy (DOE)
- University of Amsterdam (UvA)
- University of Canterbury
- University of Canterbury, New Zealand;
- University of Miami
- University of Nevada, Reno
- University of New Hampshire – Main Campus
- University of Oxford
- University of Oxford;
- University of Washington
- VIN UNIVERSITY
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Örebro University
- 51 more »
- « less
-
Field
-
multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
-
programming, physical modeling, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You
-
, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You should be clear in your
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
, including transparency, blending, and perceptual separability. Develop and evaluate methods for perceptually grounded symbology selection, including simulation-based assessment across multiple background
-
The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages of their career developing state-of-the-art statistical and mathematical methods to analyze
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
-
in populations under selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a
-
-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
areas – completed in the three years prior to the date of submission of the fellowship application; The post-doctoral research must be carried out at a host institution different from the institution