Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Lund
- Lulea University of Technology
- Linköping University
- SciLifeLab
- University of Gothenburg
- Swedish University of Agricultural Sciences
- Uppsala University
- Umeå University
- Blekinge Institute of Technology
- ETH Zurich
- Linnaeus University
- Mälardalen University
- Stockholm University
- 3 more »
- « less
-
Field
-
Are you interested in working in formal verification and programming language techniques applied to quantum systems, with the support of competent and friendly colleagues in an international
-
quantitative methods such as mathematics, statistics, and programming, broad knowledge of natural and anthropogenic processes affecting carbon storage, and a willingness to conduct fieldwork in remote and
-
corresponding knowledge in another way. We are looking for candidates with a strong interest in interdisciplinary research at the interface of physics, materials science, scientific programming, and energy
-
Engineering, Energy technology or related field. Documented knowledge and experience in data programming and modelling. Excellent communication skills in English, both written and spoken. Meritorious
-
, which occurs when the employment contract is signed. The position requires a strong background in fluid mechanics and computational fluid dynamics (CFD), as well as good programming skills. Excellent
-
networks, as well as courses in Python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
-
, programming, running, and analyzing large-N surveys and survey experiments, making strong survey research skills essential to the position. The postdoctoral fellow will be expected to develop and
-
work entails an in-depth study of the theory of tomographic reconstruction, requiring a strong mathematical foundation and well-developed programming skills. Monte Carlo simulations of gamma cameras
-
, forest inventory methods, environmental and tree-attribute measurements, spatial statistics, causal inference, and programming in R and/or Python. The studies will be conducted mostly as a combination of
-
the doctoral project and the subject area (e.g. engineering or theoretical physics, wave propagation, engineering acoustics, programming, modelling, bioacoustics, computational methods, electronics