Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- Lunds universitet
- Chalmers University of Technology
- SciLifeLab
- Uppsala universitet
- Linköping University
- Chalmers tekniska högskola
- Umeå universitet
- Örebro University
- Linköpings universitet
- Luleå University of Technology
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Nature Careers
- University of Borås
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linkopings universitet
- Linköpings University
- Lund University
- Malmö universitet
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- 17 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
-
the European Regional Development Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals
-
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
-
, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
-
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
-
-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as
-
. You have a strong ability to solve problems and formulate algorithms. You also have an interest in genetics and genomics. You are organized, proactive, and can work independently as
-
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
-
, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is