Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- NEW YORK UNIVERSITY ABU DHABI
- Aarhus University
- CNRS
- Technical University of Denmark
- University of Luxembourg
- Brookhaven National Laboratory
- Eindhoven University of Technology (TU/e)
- George Washington University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- Umeå University
- University of Oslo
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Consejo Superior de Investigaciones Científicas
- Cornell University
- Dartmouth College
- Delft University of Technology (TU Delft)
- Durham University
- ERATOSTHENES CENTRE OF EXCELLENCE
- Fondazione Bruno Kessler
- Fred Hutchinson Cancer Center
- Heriot Watt University
- IFM/Linköping University
- Inria, the French national research institute for the digital sciences
- Instituto de Engenharia Mecânica
- Karlstad University
- Linköpings universitet
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- McGill University
- Mälardalen University
- SciLifeLab
- Stanford University
- Sveriges Lantbruksuniversitet
- Technical University of Munich
- Texas A&M University
- The International Institute of Molecular Mechanisms
- UNIVERSITE ANGERS
- Umeå universitet
- Umeå universitet stipendiemodul
- Universidade do Algarve
- University of Basel
- University of Central Florida
- University of London
- University of Lund
- University of Nevada, Reno
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Oxford;
- University of Sydney
- University of Twente
- 49 more »
- « less
-
Field
-
approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
collaborate closely with Professor Colin Meyer at Dartmouth College to develop new models of polynya dynamics, efficient algorithms for inversion of surface signatures, and deeper understanding of controls
-
. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
-
efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
-
for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
-
the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
at the Centre Inria de l'Université de Lille in the Scool team. He or she will be in contact with experts of sequential decision making. The candidate will study different research questions related
-
data and IT infrastructure. Combination of different algorithms to test multimodal predictive modelling. Compilation and presentation of data orally at seminars and conferences, as well as independent
-
About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
-
, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly