Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- Linnaeus University
- Mälardalen University
- Nature Careers
- Blekinge Institute of Technology
- University of Lund
- 2 more »
- « less
-
Field
-
family life. Ideals and practices related to work and family are compared across different countries, social groups within countries, and over time. The project is based on survey data. Eligibility To be
-
. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
-
of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
-
benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https
-
of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
-
cementitious materials, life cycle assessment, or circular design principles. For further information about a specific subject see - General syllabus for the Board of the faculty of science and technology
-
demonstrators. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies
-
(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
-
to an excellent research infrastructure and high-quality Swedish administrative data and a vibrant working environment. A highly qualified education within a thriving research environment. Our economics department
-
successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor