Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Umeå University
- Linköping University
- Chalmers University of Technology
- Nature Careers
- KTH Royal Institute of Technology
- Lunds universitet
- Uppsala universitet
- Lulea University of Technology
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- Karolinska Institutet (KI)
- Linnaeus University
- Mälardalen University
- School of Business, Society and Engineering
- Sveriges lantbruksuniversitet
- University of Gothenburg
- 11 more »
- « less
-
Field
-
focused on mass spectrometry and development of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and
-
translational research topic that deals with radiation physics applied to medicine and biology for medical radiation imaging and radiation therapy. The advertised PhD position focus on assessment, prediction and
-
techniques and data analysis 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
-
printing with concrete, and UMA will contribute by exploring new building design with biomass in the 3D printing process. Your primary tasks include: 3D modelling using Rhinoceros 3D and Grasshopper software
-
methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and
-
DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
-
understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
-
, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
-
life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
-
of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications