Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Nature Careers
- Linköping University
- Mälardalen University
- Linnaeus University
- Lulea University of Technology
- Karolinska Institutet (KI)
- Karlstad University
- Örebro University
- Blekinge Institute of Technology
- Jönköping University
- University of Borås
- Lunds universitet
- ;
- KTH
- Karlstads universitet
- Sveriges lantbruksuniversitet
- Uppsala universitet
- European Magnetism Association EMA
- KTH Royal Institute of Technology
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- University of Gothenburg
- Uppsala University
- 18 more »
- « less
-
Field
-
radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and
-
The Pancreatology Research Group at the Department of Surgery The doctoral position is located in the Pancreatology Research Group at the Department of Surgery, Lund University. The focus is on
-
include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
-
for the project. Project Description AMBER Project Overview This project is part of the EU co-funded research initiative AMBER, Advanced Multiscale Biological Imaging using European Research Infrastructures, which
-
of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
-
aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
-
Product Development Material Production - and in the interaction between these areas. The research focuses on the development of the industrial process, from need to finished product while creating added
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
-
part of an ERC starting grant and involves studying the impact of disease on endosomal properties and the processing of lipid nanoparticles. Key techniques will include omics, cell culture and small
-
software development. Experience and interest in Artificial Intelligence and Machine Learning development. Proficiency in written and oral communication in English. Place of employment: Karlskrona