Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Lunds universitet
- Chalmers University of Technology
- University of Lund
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- Karolinska Institutet, doctoral positions
- KTH Royal Institute of Technology
- Sveriges Lantbruksuniversitet
- Uppsala universitet
- Jönköping University
- Karolinska Institutet (KI)
- Stockholms universitet
- University of Gothenburg
- Karlstad University
- LInköpings universitet
- Linköpings universitet
- Nature Careers
- SLU
- Umea University
- Umeå universitet
- Umeå universitet stipendiemodul
- Örebro University
- 14 more »
- « less
-
Field
-
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
-
for PhD positions in plant science. The expected starting date is May 1st, 2026 or according to agreement. Umeå Plant Science Centre (UPSC) is one of the strongest research environments for basic plant
-
unexplored intersection between social cognition, attentional processing, and gaze perception. We use several different methods, including functional magnetic brain imaging (fMRI), behavioral and
-
research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
-
university and one of the world’s top 100 ranked institutions for higher education and research. The university has more than 30,000 students, 1,300 PhD-students, and 5,500 employees, and is primarily located
-
application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
-
gained international recognition through the BioFINDER projects, has for several years been at the forefront in the field of fluid‑based biomarkers and brain imaging, enabling early and accurate detection
-
research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
-
systems for diagnostics and treatment. Core activities include signal processing, antenna design, and measurement hardware development. Building complete prototype systems for clinical testing is a central
-
transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded and identifiable representation learning. You will have great freedom to influence