Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Umeå University
- Linköping University
- KTH Royal Institute of Technology
- SciLifeLab
- Stockholms universitet
- Lunds universitet
- Nature Careers
- University of Lund
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Karlstad University
- Karolinska Institutet (KI)
- Linköpings universitet
- Linnaeus University
- Umeå universitet
- Örebro University
- 9 more »
- « less
-
Field
-
-organelle coordination. Besides plant cells, such coordination is a general problem for all life that underwent endosymbiosis at some time during their evolutionary history. Depending on the applicant’s
-
at Karlstad University: the research group River Ecology and Management (RivEM) and the growing group of researchers in evolutionary biology. You will work closely with your principal supervisor, Viktor Nilsson
-
. The successful candidate holds/or are about to receive a Master of Science degree in computer science, data science, or a related area, and have strong background in algorithmic design, data mining, machine
-
knowledge in thermal energy storage, techno-economic analyses, and AI tools/algorithms is a merit. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6
-
). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
-
of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
-
communication systems for 5G and 6G, channel modelling, channel characterization, radio-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor
-
of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
-
mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
-
corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms