Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Uppsala universitet
- Umeå University
- Chalmers tekniska högskola
- Linköping University
- Lunds universitet
- Örebro University
- Linköpings universitet
- Luleå University of Technology
- SciLifeLab
- Umeå universitet
- Blekinge Institute of Technology
- Lulea University of Technology
- University of Borås
- University of Lund
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Karolinska Institutet (KI)
- Linkopings universitet
- Linköpings University
- Malmö universitet
- Stockholms universitet
- 12 more »
- « less
-
Field
-
mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
-
the classical and parameterized settings. The goal is to develop general tools that can provide efficient algorithms for a wide range of graph problems. Who we are looking for The following requirements
-
to pioneer novel research opportunities enabled by one of the brightest sources in the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal
-
in the network. Here unfair indicates that people with different personal traits are differently and unjustly affected by algorithms not designed to consider those traits. This project aims to develop
-
. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
-
costs, and tightly bridge the gap between software and hardware design. As a doctoral student, you will work on developing a framework that connects new learning algorithms with their physical
-
. The following education, experience and expertise are required: solid knowledge in machine learning, optimization, or algorithm development programming experience, preferably in Python In addition, the following
-
research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across
-
the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
-
Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a