Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Linköping University
- Nature Careers
- SciLifeLab
- University of Lund
- Linnaeus University
- Karlstad University
- Lulea University of Technology
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Örebro University
- Mälardalen University
- Jönköping University
- Karlstads universitet
- Umeå universitet
- University of Gothenburg
- Uppsala universitet
- ;
- Karolinska Institutet (KI)
- Luleå University of Technology
- Lunds universitet
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- Umeå universitet stipendiemodul
- University of Borås
- 18 more »
- « less
-
Field
-
), and strong publication record in international journals. Merits include development of advanced deep learning architectures (e.g., transformers, graph networks) for remote sensing, experience in large
-
and positive societal impact. In safety-critical domains such as healthcare or autonomous driving, as well as in security-critical systems including AI-native networks or financial services, AI/ML
-
description The Internet is enabled by a network of silica fibers with a step-index profile. Since the invention of the optical fiber 50 years ago, its design has not been radically changed. During the last 10
-
, and environmental sustainability. As a postdoc, you will become part of a dynamic team that offers a stimulating and flexible work environment, with opportunities for collaboration and networking both
-
architecture and forest structure analysis. We expect you to develop innovative research and report findings in high-impact scientific journals. We expect you to network and collaborate with remote sensing
-
the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and resources for your research. Project overview The project aims to explore new catalytic
-
. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
-
of peer-reviewed scientific publications. The successful candidate will participate in ongoing research (e.g., SIDWater, PARC), build strategic networks nationally and internationally, create resources
-
research, often in collaboration with industrial partners. The project is part of the Competence Centre for Catalysis (KCK) and the Chalmers Area of Advance Energy, which provide strong networks and
-
the department’s environment and networks, both internally and externally Qualifications A doctorate in mathematics or another field relevant to the assessment criteria below, or possesses an equivalent degree from