Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Chalmers University of Technology
- Linköping University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Nature Careers
- University of Lund
- Uppsala universitet
- Stockholms universitet
- Chalmers University of Techonology
- Fureho AB
- KTH Royal Institute of Technology
- Luleå University of Technology
- Lunds universitet
- Malmö universitet
- Mälardalen University
- School of Business, Society and Engineering
- Umeå universitet
- 10 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new machine learning methods for multimodal data and
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
-
statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
-
interpretation of electrical signals for memory and signal analysis. It will also include the design of nanophotonic elements to tailor light absorption and light emission. The work will be carried out in
-
and advanced characterization methods and device fabrication. The deadline for application is 2025-09-30, and the starting date is 2026-02-01 or by agreement. More details on the application
-
own research question within this area. The project is mainly intended for quantitative methods but is to some extent also open to qualitative methods. As a doctoral student, you will read doctoral
-
tailored materials design with advanced characterization methods to enable new device functionalities. The research aims to expand the capabilities of organic electronic devices by integrating light
-
factor in the design of the project. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. A person who is employed as a PhD student
-
: https://wasp-sweden.org/ Project description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy
-
parallel to what has recently been shown in human gut health, microbial diversity on both leaves and roots is an important factor in overall plant health. However, the connections between plant disease and