Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå University
- University of Lund
- Swedish University of Agricultural Sciences
- Karolinska Institutet (KI)
- Linköping University
- Sveriges lantbruksuniversitet
- Chalmers tekniska högskola
- Stockholms universitet
- Nature Careers
- Uppsala universitet
- Lulea University of Technology
- Umeå universitet
- University of Gothenburg
- Karlstad University
- Luleå University of Technology
- Jönköping University
- Örebro University
- Blekinge Institute of Technology
- Linnaeus University
- Umeå universitet stipendiemodul
- Linköpings universitet
- Sveriges Lantbruksuniversitet
- Karlstads universitet
- Chalmers Tekniska Högskola AB
- Kungliga Tekniska högskolan
- Linneuniversitetet
- Luleå tekniska universitet
- Stockholm University
- Chalmers
- Chalmers Tekniska Högskola
- Göteborgs universitet
- Högskolan Väst
- KTH
- Lund University
- Malmö universitet
- The University of Gothenburg
- University of Borås
- chalmers tekniska högskola
- Chalmers University of Techonology
- Chalmers te
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Epishine
- Faculty of culture and society
- Fureho AB
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Karolinska Institutet, doctoral positions
- Linköping university
- Linköpings University
- Lund University;
- Lund university
- Mälardalen University
- SLU
- Sveriges Lantrbruksuniversitet
- 50 more »
- « less
-
Field
-
; they make sense 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
-
, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered
-
experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
-
at the Faculty of Engineering and contribute to cutting-edge research in radar systems. The radar group at BTH has extensive experience in radar research, developing signal processing algorithms for long-range
-
control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
-
genotype-phenotype correlations and understand disease biology. The long-term goal is to identify biomarkers and to develop personalized therapeutics in order to improve the quality of life for individuals
-
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
-
following its curriculum. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
-
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
-
the Department of Information Technology website . At the Division of Systems and Control , we develop and analyze both theory and concrete tools to design systems that learn, reason, and act in