Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- SciLifeLab
- Lunds universitet
- Umeå University
- University of Lund
- Uppsala universitet
- Linköping University
- Luleå University of Technology
- Högskolan Väst
- Lulea University of Technology
- Mälardalen University
- SLU
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Örebro University
- 6 more »
- « less
-
Field
-
to apply is 13 April, 2026. Research environment The postdoc will join the group of Dr. Barbara Sixt, a well-funded and highly international research team. The lab is based at Umeå University in
-
management. Data from case studies (inspections, monitoring, and experimental tests) are used for model updating, calibration of safety formats, and prediction of future performance and remaining service life
-
acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed
-
imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
-
such as spectrally controlled reflectivity and transmission, down conversion, light trapping and light extraction, nonlinear effects, and solar cells. The work involves electromagnetic modeling
-
anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
-
) and Lundberg’s Lab at the School of Chemistry, Biotechnology and Health (CBH). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
-
, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and molecular biology, but
-
more on the university’s website about working at Lund University: Work with us. Duties and responsibilities The candidate will use human mesenchymal cells to create human in vitro and in vivo models