Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Mälardalen University
- Nature Careers
- Jönköping University
- University of Lund
- Blekinge Institute of Technology
- Linnaeus University
- 2 more »
- « less
-
Field
-
Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a
-
students at the Faculty of Medicine attend the doctoral education program. More information about the program can be found at Doctoral studies at the Faculty of Medicine. Background and description of tasks
-
metabolomics analyses, bioanalytical techniques, methods at the interface of Chemistry and Biology, and biomarker discovery. Our team is currently searching for a highly motivated and enthusiastic PhD student
-
from staff scientists. The department also hosts the Bachelor’s degree programme in chemistry and three Master’s programmes: analytical chemistry, sustainable chemistry, and organic chemistry. PhD
-
, integrating microfabrication, cell component and biomaterial incorporation, staining of specific biological features, and computational modelling of intrinsic properties. The evaluation of results and further
-
standalone open Biology courses, a natural science preparatory year, and the industrial engineering and management program with a focus on biological resources and sustainable use. You can read more about the
-
development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
-
, computational 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
-
will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
-
Are you interested in developing computational tools and learning strategies for understanding health and disease at the microscopic scale? Would you like to be part of a research team with skilled