Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Karolinska Institutet
- Lulea University of Technology
- Umeå University
- Linköping University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Sveriges lantbruksuniversitet
- Mälardalen University
- Nature Careers
- Luleå University of Technology
- University of Lund
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- Karolinska Institutet, doctoral positions
- Lunds universitet
- 8 more »
- « less
-
Field
-
, for example via equilibrium and non-equilibrium Green's functions, density functional theory, and tensor network methods. Experience in topological magnetic systems and nonlinear optical phenomena is considered
-
characteristics of the ground. The research focus is forest operations with an emphasis on the interaction between vehicles and the ground, both in the terrain and on forest road networks. You will be part of a
-
forest road networks. You will be part of a team of forest operations researchers, but will work independently and lead the research development in this field at the department. About the position
-
supplementary courses in genetics, immunology, and bioinformatics. Active participation in the scientific network of the department and Karolinska Institutet is crucial, including involvement in international
-
. The position is one of 10 PhD positions in the new Horizon Europe-funded Marie Skłodowska-Curie Action (MSCA) Doctoral Network ENDAMR (https://euraxess.ec.europa.eu/jobs/315956 ) Examples of recent publications
-
research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material science, and
-
repair of reclaimed building components and robotic 3D printing with upcycled, reused, and biobased materials. The PhD project is part of the Digital Twin Cities Centre, supported by a network of academic
-
seeks a doctoral student in machine learning. We offer well-equipped laboratory facilities for research and an excellent inter-disciplinary academic network in Sweden and abroad. Subject description
-
novel cancer dependencies and develop strategies specific towards tumor cells. We are a young and dynamic research team with a well-established collaborative network. The group is also associated
-
and contribute to sustainable forestry practices. The successful candidate will have opportunities for career development, including mentoring and networking within a multidisciplinary research team