Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- University of Lund
- Lunds universitet
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Nature Careers
- Karolinska Institutet (KI)
- Umeå universitet
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Mälardalen University
- Umeå universitet stipendiemodul
- Högskolan Väst
- KTH
- Luleå tekniska universitet
- Mid Sweden University
- University of Gothenburg
- Faculty of Culture and Society
- Göteborgs Universitet
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Institutionen för kemi och molekylärbiologi
- Jönköping University
- Kungliga Tekniska högskolan
- Linköpings universitet
- Lule university of technology
- Luleå university of technology
- Mittuniversitetet
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Örebro University
- 28 more »
- « less
-
Field
-
. Experience in power system analysis (e.g. with PyPSA) is meritorious. Proven experience in programming languages (e.g. in Python), and in best practices for code management and documentation. Additional
-
within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
-
++, Python, Rust, …). Demonstrated experience in one of the following areas, with a willingness to learn one another: (1) genome sequences and omics data, (2) deep learning, and (3) compressed data structures
-
courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
-
-form empirical research with large datasets. This includes strong programming skills in Python and experience with at least one additional language used for structural estimation or numerical computing
-
). Knowledge in programming is required (Python is beneficial but not mandatory). Willingness to do experimental science, including instrument building, sample preparation, and working in laboratories
-
Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
-
for The following requirements are mandatory for the role: A university degree in a relevant area Documented experience in Python and/or other relevant programming languages Documented experience from working in
-
at estimating and optimizing complexity of algorithms. Experience in telecommunications and experience of programming in Python are desirable. The applicant should furthermore have a strong drive towards solving
-
, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits