Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Lunds universitet
- SciLifeLab
- Umeå University
- University of Lund
- Uppsala universitet
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Chalmers tekniska högskola
- Umeå universitet
- Linköping University
- Linköpings universitet
- Luleå University of Technology
- Sveriges lantbruksuniversitet
- Örebro University
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Sveriges Lantbruksuniversitet
- University of Borås
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linkopings universitet
- Linköpings University
- Lulea University of Technology
- Malmö universitet
- Nature Careers
- 16 more »
- « less
-
Field
-
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
-
, prior work with genomics and evolutionary analyses, reverse genetics, confocal microscopy, and gene functional techniques are further assets. The candidate is expected to be a team player and
-
position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science We are looking for two highly motivated individuals to pursue a Ph.D. in algorithms
-
knowledge of 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
-
to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
-
and algorithmic foundations for goal-oriented, semantics-aware communication strategies that enable efficient, intelligent, and adaptive information exchange in joint communication and control. In
-
series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
-
of molecular dynamics algorithms in GROMACS. The main focus will be on mixed precision techniques as part of the GANANA EU-India HPC partnership. This R&D work will involve: Design and development of mixed
-
. Additional qualifications Experience from providing support in image analysis to other researchers is meriting. Especially meriting is proficiency in using and developing algorithms and analysis pipelines
-
, C/C++, Java. JavaScript), especially in design, analysis and implementation of geometric algorithms (computational geometry, map-based web interfaces, GIS). It will be considered a merit if you also