Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Technical University of Munich
- Monash University
- Nature Careers
- European Space Agency
- Nanyang Technological University
- Stony Brook University
- CNRS
- ETH Zurich
- Oak Ridge National Laboratory
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of California
- Zintellect
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of British Columbia
- University of Michigan
- University of Sheffield
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Princeton University
- UNIVERSITY OF HELSINKI
- Lawrence Berkeley National Laboratory
- University of California, Merced
- AALTO UNIVERSITY
- AIT Austrian Institute of Technology
- Cranfield University
- Duke University
- ETH Zürich
- Emory University
- Imperial College London
- Lulea University of Technology
- NIST
- Northeastern University
- Rutgers University
- SUNY University at Buffalo
- Technical University of Denmark
- UNIVERSITY OF VIENNA
- University of Adelaide
- University of Antwerp
- University of Bergen
- University of Cincinnati
- University of Houston Central Campus
- University of Michigan - Ann Arbor
- University of Oslo
- University of Texas at Austin
- University of Vienna
- University of Washington
- Universität Wien
- Wageningen University & Research
- Yale University
- ;
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Birmingham
- ; University of Cambridge
- ; University of Sheffield
- Aalborg University
- Aarhus University
- Academic Europe
- Aston University
- Boston Children's Hospital
- Brookhaven Lab
- Brookhaven National Laboratory
- CSIRO
- California Institute of Technology
- Carnegie Mellon University
- Curtin University
- Dana-Farber Cancer Institute
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Durham University
- East Tennessee State University
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e); Eindhoven
- FEUP
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundacion IMDEA Energia
- Ghent University
- Harbin Engineering University
- Heidelberg University
- Heriot Watt University
- IMEC
- INESC TEC
- ISCTE - Instituto Universitário de Lisboa
- Instituto Pedro Nunes
- Instituto Superior Técnico
- Instituto de Telecomunicações
- KTH Royal Institute of Technology
- Lodz University of Technology
- Marquette University
- NTNU - Norwegian University of Science and Technology
- Nantes Université
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- North Carolina State University
- Purdue University
- SciLifeLab
- Singapore Institute of Technology
- 90 more »
- « less
-
Field
-
management expertise to support a workgroup of researchers using satellite algorithm-based models to track marine environmental conditions, generate habitat distribution maps, and produce forecasts
-
differential problems. 2) Development of adaptive mesh generation algorithms for distributed order fractional differential equations. 3) Analysis of the stability and convergence properties of the developed
-
). Modelling of electrical distribution networks with VPPs and development of grid ancillary services. Implementation and proof of concept of the control algorithms in a Power HIL environment (Smart Energy
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
-
is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
machine learning algorithms for application to sonar and underwater acoustics, as well as the accompanying data analysis to effectively characterize their performance in the Advanced Technology Laboratory
-
of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related