Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- University of Lund
- Lunds universitet
- Umeå University
- Mälardalen University
- Karolinska Institutet (KI)
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Blekinge Institute of Technology
- Karlstad University
- Luleå University of Technology
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Linköping University (LiU)
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- University of Borås
- University of Skövde
- Uppsala University
- universitypositions
- 16 more »
- « less
-
Field
-
the project SAVIOR (AI-Supported Alert Validation for Industrial SOC (Security Operations Center) Response) . SAVIOR focuses on reducing the need for manual communication during the validation process and post
-
for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
-
. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
-
>99 researchers at six departments to develop education, research & infrastructure in battery technology. There is strong research on materials, cell concepts, processing, battery control, monitoring
-
of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF
-
. The project will focus on integrating quantitative and textual information, accounting for structural shifts in measurement processes over time, and developing scalable inference for high-dimensional settings
-
processing, Electric Power Engineering, Antennas and Optical Networks, and Biomedical engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
-
cells to develop novel therapeutic strategies for difficult-to-treat cancers. A central part of the work will be to evaluate the therapeutic potential of the engineered immune cells using molecular and
-
: Publications in A* venues in AI, machine learning, and data science. Experience with reinforcement learning, Markov decision processes and/or control theory. Experience in fundamental and applied AI/machine
-
, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM