Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- Chalmers University of Technology
- Karolinska Institutet (KI)
- University of Lund
- KTH Royal Institute of Technology
- Umeå University
- Uppsala universitet
- SciLifeLab
- Linköping University
- Umeå universitet
- Umeå universitet stipendiemodul
- Chalmers telniska högskola AB
- KTH
- Luleå tekniska universitet
- Lund University
- Nature Careers
- SLU
- Sveriges Lantbruksuniversitet
- 8 more »
- « less
-
Field
-
HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
-
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
-
strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features
-
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
-
sequencing or spatial transcriptomics. Candidates without substantial practical experience in stereotaxic surgery combined with neural recording or imaging will not be competitive for this position. Duties
-
We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
-
, with scientific areas ranging from fundamental chemistry, health and medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry
-
and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
-
to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
-
, with scientific areas ranging from fundamental chemistry, health and medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry