Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Linköping University
- Lulea University of Technology
- Luleå tekniska universitet
- Lunds universitet
- Mälardalen University
- SciLifeLab
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Umeå universitet stipendiemodul
- University of Lund
- Örebro University
- 9 more »
- « less
-
Field
-
, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
-
field. Documented experience in image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C
-
been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities
-
expert knowledge in working with and developing bioinformatics tools in Python, Julia, R or C++. Have extensive experience with NGS data analysis. Have experience in sample preparation for and sequencing
-
. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall biochemistry Plant in vitroculture work In situmicroscopy and
-
laboratory post-processing of all the data. The project will also include investigations of different types of distortions, due to changes in the depositional environment and/or coring induced deformations
-
Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
-
. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall biochemistry Plant in vitro culture work In situ microscopy and
-
of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
-
of Energy Sciences. At the division, we conduct research and education on energy production, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer