Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet (KI)
- SciLifeLab
- Lunds universitet
- KTH Royal Institute of Technology
- Karolinska Institutet
- Linköping University
- Linköping university
- Lulea University of Technology
- Luleå tekniska universitet
- Mälardalen University
- Mälardalens universitet
- Nature Careers
- Stockholms universitet
- Umeå University
- Umeå universitet
- University of Lund
- Uppsala universitet
- 7 more »
- « less
-
Field
-
programming skills (e.g., Python) Previous experience with analyzing sequencing data Excellent communication abilities, and a collaborative mindset Meritorious for the position: Demonstrated work on developing
-
different populations. Study structure and function of microbial genes across strains. Participate and contribute to scientific group meetings. Coordinate tasks with collaboration partners. Contribute as
-
experience with Python and C++. Knowledge of motion planning under uncertainty is considered an additional merit. The applicant should have strong collaborative skills, communicate research effectively in both
-
if there are special grounds, for example, different types of statutory leave of absence. Competence requirements for the position: Strong programming skills (FORTRAN95, C++ or python) and experience with developing
-
, for example, different types of statutory leave of absence. Competence requirements for the position: Strong programming skills (FORTRAN95, C++ or python) and experience with developing high-frequency 2D or 3D
-
as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface
-
, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R or Python) and familiarity with advanced analytical techniques (e.g., causal inference
-
, with a special focus on studies and development of materials, surfaces and interfaces of interest for different energy applications, and therefore also the development of a sustainable society. This
-
skills including programming (e.g., bash, Python, R) and command-line interface in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling
-
and reinforcement. It will build on extensive pavement performance datasets and apply advanced machine learning and statistical methods to generate predictions and assess the effectiveness of different