43 algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Linköping University
- Umeå University
- Uppsala universitet
- Linköpings universitet
- Luleå University of Technology
- SciLifeLab
- Umeå universitet
- University of Lund
- KTH Royal Institute of Technology
- Lulea University of Technology
- Lunds universitet
- University of Borås
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Linkopings universitet
- Linköpings University
- Nature Careers
- 7 more »
- « less
-
Field
-
Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related
-
collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals highlighting findings
-
group There are approximately 8000 different rare diseases, affecting 6% or about 350 million people in the world. The quality of life of patients and families with rare diseases is often compromised by
-
years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD
-
space)? What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms
-
district heating networks, within the framework of the project "Data Analysis for Peak Load Stabilisation in District Heating Networks (DAS)". The work includes: design and implementation of RL algorithms
-
Networks (DAS)". The work includes: design and implementation of RL algorithms to address the challenges of peak load variations in district heating systems development and use of simulation models
-
to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
-
the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
-
focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher