Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Lunds universitet
- Chalmers University of Technology
- Umeå University
- Linköping University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- University of Borås
- University of Gothenburg
- Jönköping University
- Karlstad University
- Karolinska Institutet (KI)
- Linköpings universitet
- Mid Sweden University
- Nature Careers
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Umea University
- Umeå universitet
- Örebro University
- 13 more »
- « less
-
Field
-
Role: Industrial PhD Student position in single molecule analysis Location: Gothenburg, Sweden Type of employment: Temporary contract (4 years) Pay: According to local agreement Working hours: 100
-
: developing and applying image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre
-
forward to receiving your application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image
-
technology Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
-
project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
-
scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
-
recordings, immunostaining, imaging, and tissue preparation in non-standard animal models. The position may serve as useful preparation for those who later choose to pursue a PhD. Qualifications It is a
-
image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
-
-probe measurement techniques based on photoelectron-photoion covariance imaging, and (3) experimental studies of charge dynamics and nonlinear processes. The project might also include complementary
-
within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in