Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Linköping University
- Chalmers University of Technology
- Jönköping University
- KTH Royal Institute of Technology
- Nature Careers
- Uppsala universitet
- Lunds universitet
- Umeå universitet
- Mid Sweden University
- Karlstad University
- Faculty of Technology and Society
- Karolinska Institutet (KI)
- Linnéuniversitetet
- Lund University
- University of Borås
- 8 more »
- « less
-
Field
-
, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
-
combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you! About us Our team is part of the Division
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD position in Computing Science with a focus on machine learning for graph
-
manipulation tasks. We are seeking candidates with a strong background in robotics and machine learning, and demonstrated experience in two or more of the following areas: deep learning, reinforcement learning
-
risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
-
School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
-
from information and coding theory, machine learning, and distributed algorithms. The project is in collaboration with Linköping University, which includes opportunity for research visits. The project is
-
are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The research group for associative learning conducts research in neurophysiology and
-
biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
-
tasks that require coordinated base-arm-hand behaviors in dynamic environments. We seek candidates with a strong background in robotics and machine learning, and demonstrated experience in at least two of